Spss khmer

�រម�ក�

សព�ៃថ�េនះ �រេ ប �សកព�ទរ គ�មេធ��យ!ងស$នមយ ក&ង�រេ'ះ (យប)* នងជយសរលដល�រ

/រ ប0ៃថ�របសមនស1ែដលរសេ3េលពភពេ5ក។ 7គេ ចន�រ/រ េស9រែត;ងអសរបសពកេគគពងែផ?កេ@

េល�រ េ ប �សកព�ទរ;ង សAង ែដល�េហត;ម;រឲអ&កេ ប �ស តDវFនសមតG7ព នងចេនះដង គប Hន

ក&ង�រ េ ប �សេ@េលI។

េដមJចលរមេលកស9យវសយពតFនវទ� េ3ក&ង ពះM�Nច កកមO� មជPមណR លពតFនវទ� អនធរ តDវ�ន

បេងSតេឡងផងែដរ ក&ងេHលបនង េដមJជយបណU ះបNU លចេនះដងែផ&កពតFនវទ�ដល សស1 នស1ត នងអ&ក

សកV ឲFនចេនះដងពត �កដក&ងែផ&កេនះ �ពេសសFនសមតG7ពចWស5សក&ង�រេ ប �សកព�ទរ។

ដចេនះសម សស1 នស1ត នងអ&កសកV;ងអស ខតខ បងែ បង សកV (វ �វ នង0បយកនវចេនះដង ែដល

មជPមណR ល �នបណU ះបNU លជន េដមJឲេពលេវ5ែដលអ&ក�នចYយ �Z យេ@� បេ!ជនមយ!ងធេធង

សMបជវតរបសអ&កYេពលអYគត។

េយងខ\ ែដល�អ&កេរ]បេរ]ងៃន មជPមណR លពតFនវទ� អនធរ សមអរគណចេ^ះ�រH ទរបស សស1 នស1ត

នងអ&កសកV;ងអស នងសមអភយ េ;សMលកហសឆ`ងែដលេកតFនក&ងករណNមយ េហយេយងខ\ នងខត

ខ រះរកនវអ�ែដលថaក&ងែផ&កពតFនវទ�េនះ េដមJផUលជនដល អ&កសកVបែនGមេទ]ត សមអរគណ នងសម

ជMបសរ ។

កAមអ&កេរ]បេរ]ងៃន

មជPមណR លពតFនវទ� អនធរ

�កមអ�កេរ បេរ ង អ�កេរ បេរ ង:

ហ មន&

អ�ករច�គរប:

ហ មន&

អ�ក�យអត�បទ ន�ងេរ បចរប�ព:

ហ មន&

ចន9cរទd

អ�កព�ន�ត� ន�ងែកសរលអត�បទ:

ហ មន&

ចន9cរទd

ចន សវណe

ែកវ េ(ភណ

េរ បេរ ងេល$កទ$ ២:

រកVសទd គប!ង © 2013 េ'យ មជPមណR លពតFនវទ� អនធរ សMប� ឯក(រេ ប �សៃផ9ក&ង។

Ha នែផ&កNមយៃនេស]វេkេនះ តDវ�ន ផលតេឡងវញ េ;ះ�មេធ��យNកេ'យ េ3េពលែដលHa ន�រ

អន)n ត�5យលកoណអក1រ ពFp សកមaសទd។

�សយ&' ន:

ផ9ះេលខ 179 ផZ វ 173 កAម 3 ភម 1 ស/S ត ទនបទក ខណR ច�រមន Mជcនភ&េពញ

Tel: 010-012-016 603 314

Website: www.enteritc.com | facebook.com/enteritc

()*

េមេរ]នទ 1: �រែណYេ�យ(លពកមaវធ SPSS ............................................................................................................................. 1

េមេរ]នទ 2: �រ Import Files េផ1ងៗចលក&ងកមaវធ SPSS ............................................................................................................ 13

េមេរ]នទ 3: រេប]ប Merge File នង Compute Variable ..................................................................................................................... 19

េមេរ]នទ 4: �របែលងទន&នយ Data Transformation .................................................................................................................... 31

េមេរ]នទ 5: មល'� ន គះៃនសGត .......................................................................................................................................................... 53

េមេរ]នទ 6: �រវ7គទន&នយ�មយ Frequencies ......................................................................................................................... 61

េមេរ]នទ 7: �រវ7គទន&នយ�មយ Descriptive ........................................................................................................................... 91

េមេរ]នទ 8: �រវ7គទន&នយ�មយ Compare Mean.................................................................................................................... 95

េមេរ]នទ 9: �រវ7គទន&នយ�មយ Crosstabs ............................................................................................................................ 101

េមេរ]នទ 10: �រវ7គទន&នយ�មយ Explore ............................................................................................................................... 109

េមេរ]នទ 11: �រវ7គទន&នយ�មយ Multiple Response ............................................................................................................ 117

សនរនងល�ត បលង Final Test .................................................................................................................................................... 129

APPENDIX : រេប]ប Set Up កមaវធ SPSS 16.0 ..................................................................................................................................... 133

SPSS 16 Basic www.enteritc.com 1

មជ,មណ. លពត(ន1ទ2អ�នធរ Enter Information Technology Center

េមេរ នទ$ 1:

*រែណ�េ�យ45 លព$កម71ធ$ SPSS 1. ន�យមនយ:

SPSS គ�កមaវធមយេ បសMបវ7គទន&នយ ែដលផ¤ល7ព/យ ស¥ល នង �ជនយដលអ&កសកVសGត ក&ង�រ

សកVេ@េល�រវ7គទន&នយ ។ SPSS គ�^ក��តមកព Statistical Package for the Social Science ។

I�កមaវធមយជយដលអ&កសកVសGត ឬអ&កេធ� Research បU ររេប]បក&ង�រេធ� Research ព�រគណYេ'យៃដ

េ'យជនសមកវញនវ�រេ ជសេរ សយក Options ឬ functions ែដលFន (បពក&ងកមaវធ SPSS េដមJទទល

�នលទdផលដសម សបមយ។

Version របសកមaវធ SPSS Fនដច�:

> SPSS 12

> SPSS 13

> SPSS 14

> SPSS 15

> SPSS 16 ។

2. ដេណ$រ*រកម71ធ$:

រេប]បទ 1: 1. ចច Start Menu >

2. ចច All Programs >

3. ចច SPSS Inc >

4. ចច SPSS 16.0 >

5. សម Tick យក Don’t show this dialog in the future >

6. ចច OK Button

2

1

3 4

2 www.enteritc.com SPSS 16 Basic

Enter Information Technology Center មជ,មណ. លពត(ន1ទ2អ�នធរ

រេប]បទ 2: 1. ចច Start Menu >

2. ក&ង បអប Search programs and files សមសរេសរ SPSS េហយចច Enter >

3. សម Tick យក Don’t show this dialog in the future >

4. ចច OK Button

5 6

3 4

2

1



3. Interface របស Data Editor:

> Title Bar : ប/* ញពេ a ះៃន Application Nមយដច�េ3ទេនះេ a ះ° SPSS Data Editor

> Menu Bar : ប/* ញព Command ស$នៗមយចនន!ងេ ចន សMបឲេយងេ ប �ស

> Toll Bar : ប/* ញព Command ស$នៗមយចនន!ងេ ចនផងែដរ ែដល Commands ;ងអសេYះដក

សងេចញព Menu Bar

> Active Cell : ប/* ញពទ±ងែដលេយងកពងសGតេ3េល Data Editor

> Variable : គ�ជរឈររបស Data Editor

> Case : គ�ជរេដករបស Data Editor

> Spreadsheet : គ�±MងែដលFនេ3ក&ង Data Editor

> Data View : េ3ក&ង³9 ងេនះេយង�ចេ បសMបប p លឬពនត�ទន&នយនងសMបេធ��រគណY

> Variable View : េ3ក&ង³9 ងេនះេយង�ចេ បសMបេរ]បច រ ែកសរលទន&នយតរវេ@ Questionnaire របសេយង។

4. ស�ក9េ;េល$ Variable View:

មននងេយងេធ��រប p លទន&នយេ3ក&ង Data View 0�ចេយង តDវែតេធ��រេរ]បចទន&នយេ�យ�ន តម តDវ េ3

ក&ង Variable View �មនសន។ ដេច&ះេយង តDវ(លពចនចស$នេ3ក&ង Variable View ដច$ងេ �ម:

Title Bar Menu Bar Tool Bar

Active Cell Variables

Spreadsheet Data View Variable View

Case



NName: ��រកនតេ a ះឲ Variables (ជរឈរ)នមយៗ។

> �រកនតេ a ះគមន�ចសរេសរ0បេផ¤មដបងេ'យ េលខ។

> មន�ចដក Z នងមន�ចេ បនមតUស)n ពេសស ( !, #, $, &, *, (, ), ?, /, \, [, ], {, },+, …)

ឧ;ហរណៈ Age, Gender, PhoneNumber, …។

Type: សMបកនត Data Type េ@ឲែដល តDវប p លេ3ក&ង Data Editor ។IFន 8 បេភទដច�:

> Numeric : សMបកនតឲទន&នយែដលប p ល គ�េលខធមa±។

ឧ;ហរណ: េបេយងប p ល 1000 េYះIនងប/* ញ 1000 ។

> Comma : សMបកនតឲទន&នយែដលប p ល គ� Numeric េហយ�តខ9ង។

ឧ;ហរណ: េបេយងប p ល 1000 េYះIនងប¤ រេ@� 1,000 វញ។

> Dot : សMបកនតឲទន&នយែដលប p ល គ� Numeric េហយ�តខ9ង។

ឧ;ហរណ: េបេយងប p ល 1000 េYះIនងប¤ រេ@� 1.000 វញ។

> Scientific notation : សMបកនតឲទន&នយែដលប p ល គ� Numeric �លកoណៈស�យគណ ។



ឧ;ហរណ:: េបេយងប p ល 1000 េYះIនងប¤ រេ@� 1E+003 វញ។

> Date : សMបកនតឲទន&នយែដលប p ល គ� បេភទ �លបរេចËទ

ឧ;ហរណ: 10/10/99 ។

> Dollar : សMបកនតឲទន&នយែដលប p ល គ�របបយបណe Dollars

ឧ;ហរណេយងប p ល 1000 េYះIនងប¤ រេ@� $1000.00 វញ ។

> Custom currency : សMបកនតឲទន&នយែដលប p ល គ�របបយបណeេផ1ងៗ េ Ìព Dollars

ឧ;ហរណ R 1,000.00, E 1,000.00។

> String : សMបកនតឲទន&នយែដលប p ល គ�អក1រ (Text)

ឧ;ហរណ PhnomPenh,…។

ក&ងករណេនះសមេជ]សIងកនតទន&នយ បេភទ� String េនះ េ ^ះេ3េពលែដលេធ��រវ7គទន&នយ I

នងដកេចញនវ Variables NែដលFន Type � String េ'យមនយកេ@វ7គេYះេទ។

Width: សMបកនតចនន Characters ឲទន&នយេ3ក&ង Variables ែដលI�ចេ ប �ស�ន�មយនង Variables

NែដលFន Data type � String ែតបេNe ះ ។

Decimals: សMបកនតចនន ខ9ងេលខ ែដលេ3េ �យេកJÍសែដលI�ចេ ប �ស�ន�មយនង Variables N

ែដលFន Data type � Numeric ែតបេNe ះ។

Label: �អតGបទសMបប)Î ក Variable Name (េ a ះរបស Variables) ឲFននយឲ�នែតចWស ។ េ3េពលN

ែដលេយង'ក Mouse Pointer េ3េល Variable Nមយក&ង Data View េYះIនងប/* ញនវអតGបទែដលេយង�ន

កនតក&ង Label េ3ែផ&កៃន Variable View ។

Value: សMបកនត Value Label េ@ឲទន&នយ។

ឧ;ហរណៈ 1= “Male”

2= “Female”

> ក&ងករណេនះ Data type របស Variable 'ច$ត តDវែត� Numeric ។

> េជ]សIងយក Data type � String េ ^ះេ3េពលវ7គI�ចជរះេ0ល។



MMissing: តៃល Missing គ��រព�នទទលចេមZយេ3សណរNមយ េ3េពលសរេ@ដលសNក េហយIក

�ចេកតេឡងមកព�រប p លទន&នយមន តម តDវរបសអ&កវ7គផងែដរ។

Missing ែបងែចក�ពរ បេភទគ:

> System-missing : គព�នទទលចេមZយពសNក េ3សណរNមយ។

ឧ;ហរណ: បសនេប តងសណរNែដលHa នចេមZយ េយងមន តDវប p លេឡយ េ'យទកIឲេ3ទេទ

េហយេ3ក&ង Cell នងប/* ញស)n “ . “ ។

> User-missing: គមកព�រប p លទន&នយខសរបសអ&កវ7គ។

ឧ;ហរណ: 1 = “Male”

2 = “Female”

3 = ? េនះ�តៃល Missing ( User-missing)។

ចេ^ះ�រកណត Missing វញFនប បេភទសMបេធ��រសកV ែដលFនដច$ងេ �ម::

> No missing values : Mលទន&នយ;ងអសែដលប/* ញេ3េល Data Editor នង តDវចលរម ;ង សAង

ក&ង�រវ7គ។

Discrete missing values :ក&ងចនចេនះេយង�ចកនតេលខេដមJដកេចញព�រវ7គ�នចនន ប េលខ។

ឧ;ហរណ: បសនេបេយងកនតេលខ 9 , 0 , 100 េYះេ3េពលវ7គ Iនងដកេចញនវទន&នយ;ងអស

េ'យមនយកេ@វ7គេYះេទ។



Range plus one optional discrete missing values: ក&ងចនចេនះេយង�ចកនតេលខ េដមJដកេចញព�រ

វ7គ�ន ពចេYZ ះេលខមយ េ@ចេYZ ះេលខមយេទ]ត េហយក�ចដកេចញ នវេលខមយេផ1ងេទ]តេចញ

ព�រវ7គ។

ឧ;ហរណ: បសនេបេយងកនតេលខដច$ងេ �ម េYះេ3េពលវ7គ Iនងដកេចញនវទន&នយ;ង

អសេYះេ'យមនយកេ@វ7គេYះេទ។

Column: សMបកនតទហ ទទងេ@ឲ Variables ។

Align: សMបកនតទ±ងទន&នយេ3ក&ង Cell Fនដច�:: េឆ�ង (Left), កN¤ ល (center), (¤ (Right) ។

Measure: សMបកនត បេភទឲទន&នយេដមJយកេ@េធ��រវ7គ ែដលក&ងេYះ បេភទទន&នយFនដច�::

> Scale : សMបកនតឲទន&នយ;ងÓយNែដល�ចយកេ@េធ��រគណY�នែដលI� បេភទ

(Quantitative Data) ។ឧ;ហរណៈ 1234, 60%, $ 500.00 ។

> Ordinal : សMបកនតឲទន&នយ;ងÓយNែដល�ចយកេ@េធ��រេ បÍបេធ]ប�ន េហយFនល'ប

ែដលI� បេភទ (Qualitative Data) ។ ឧ;ហរណៈ Excellence, Good, Medium, Weak ។

> Nominal : សMបកនតឲទន&នយ;ងÓយNែដល�ចយកេ@េធ��រែបងែចកេ@±ម បេភទ �ជពក

កAមេផ1ងៗ បែន¤មន�ចយកេ@េធ��រេ បÍបេធ]ប�នេទ េហយHa នល'បែដលI� បេភទ (Qualitative

Data)។ឧ;ហរណៈ - Male, Female

-English, Cambodian, Japan, USA, Australia, Canada,…។



5. ស�ក9ព$ Measurement:

Quantitative Data:

> � បេភទ Data ;ងÓយN ែដល�ចេធ� បFណវធពជគណត�ន។

> េ3ក&ង SPSS កនតយក Scale ។

Qualtitative Data:

> � បេភទ Data ;ងÓយN ែដលមន�ចេធ� បFណវធពជគណត�ន HនែតសMបសHល

ស7ព រ លកoណៈអ�មយ។

> េ3ក&ង SPSS កនតយក Ordinal នង Nominal ។

6. រេប បបេង<$ត File SPSS ថ7>មយ:

រេប]បទ 1: 1. ចច File Menu >

2. ចច New >

3. ចច Data >

4. បY9 បមកIនងប/* ញនវ³9 ង DataSet ដចរប$ងេ �ម

រេប]បទ 2: េ ប Shortcut េ'យចច Ctrl+N

7. រេប ប Save File SPSS:

1. ចច File Menu >

2. ចច Save (Ctrl+S) >

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3. សមេ ជសេរ សទ±ងរកV File ទក (Ex: Drive D:) >

4. ក&ង បអប File name សម'កេ a ះឲ File (Ex: Test) >

5. ចច Save Button

េ3េពលែដល តDវ�រ Save ឯក(រទក�េលកដបង មខ/ររបស Save នង Save As FនតYទ ដចH& ។

បសនេប�េយងេធ��រ Save ឯក(រដែដលេនះេ3េលកេ �យេទ]តេYះមខ/ររបស Save នង Save As Fន

តYទខសH& :

> Save IនងរកVទកទន&នយបែនGម េ3ក&ងឯក(រដែដលេ'យមន តDវ�រ'កេ a ះេទ]តេឡយ

> Save As IនងរកVទកទន&នយ;ងអសេYះេ3ក&ងឯក(រថaមយេផ1ងេទ]ត េ'យ;ម;រឲេយង តDវ�រ

'កេ a ះថa នងរកទ±ងថaេដមJរកVទក េហយឯក(រថaេនះខសH& �មយនងឯក(រពមន។

88. រេប បេប$ក FFile SPSS:


2. ចច Open >

3. ចច Data >

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4. បY9 បមកសមែស�ងរកទ±ង File សGតេ3 (Ex: Drive D: ) >

5. សម Select េល File ែដល តDវេបក (Ex: Test.sav) >

6. ចច Open Button

99. រេប បបេង<$ត CCustom Currency:

1. ចច Edit Menu >

2. ចច Options >

3. ចច Currency Tab >

4. ក&ង បអប Custom Output Formats សមចចេល CCA >

5. េ3 តង All Values ក&ង បអប Perfix សមកនត របយបណR ែដល តDវ�រ (EX: R ) >

6. ចច OK Button

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110. សនរេ�ជសេរIស:

1. ចរឲនយមនយកមaវធ SPSS?

�A. កមaវធសMបបេងSត Table

�B. កមaវធសMប គប គងទន&នយ

�C. កមaវធសMបវ7គទន&នយ

2. ចរេរ]បMបព Variable Type េ3ក&ង Variable View?

�A. Numeric, Comma, Dot, Scientific notation, Date Time, Dollar, Custom currency, String

�B. Numeric, Comma, Dot, Scientific notation, Date, Dollar, Custom currency, String

�C. Numeric, Comma, Dot, Scientific notation, Date, Dollar, Currency, String

3. ចរប/* ញព7ពខសH& រIង Quantitative Data នង Qualitative Data?

�A. Quantitative Data មន�ចេធ� បFណវធពជគណត�ន េ3ក&ង SPSS កនតយក Scale នង

Qualtitative Data �ចេធ� បFណវធពជគណត�នេ3ក&ង SPSS កនតយក Ordinal នង Nominal

�B. Quantitative Data �ចេធ� បFណវធពជគណត�ន េ3ក&ង SPSS កនតយក Scale នង

Qualtitative Data មន�ចេធ� បFណវធពជគណត�នេ3ក&ង SPSS កនតយក Ordinal នង Nominal

�C. Quantitative Data �ចេធ� បFណវធពជគណត�ន េ3ក&ង SPSS កនតយក Ordinal នង Nominal នង

Qualtitative Data មន�ចេធ� បFណវធពជគណត�នេ3ក&ង SPSS កនតយក Scale

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មជ�មណ� លពត�ន�ទ�អ�នធរ Enter Information Technology Center

េមេរ�នទ� 2:

�រ Import Files េផ�ងៗចលក!ងកម#�ធ� SPSS

1. ន�យមនយ:

េ�ក�ងកមវធេនះ �ចឲេយងេធ��រ�ញយកទន�នយព កមវធេផ�ងៗ មយចននយកមកេ#ប#%សេ�ក�ង(%ន។

កមវធ�ងអសេ+ះ,នដច/ Microsoft Excel (*.xls), Microsoft Access (*.mdb), Notepad រ Text File (*.txt) នង

Files េផ�ងៗ មយចននេទ6ត។

2. �រ IImport ទ�ន!នយេចញព� EExcel File:

ឧ�ហរណ េយងចង Import File Excel មយេ< ះ= demo.xls ដេច�ះសមអនវត>?មជBនដចCងេ#�ម


2. ចច Open >

3. ចច Data >

4. ក�ង#បអប Look in: េ#ជសេរ សទ?ងែដលផUក File េ+ះ >

5. េ�ក�ង#បអប File of type េ#ជសេរ សយក Excel (*.xls) >

6. សម Select យក File ែដល#តYវ�រ/#បេភទ Excel File >

7. ចច Open Button >

8. ចច OK Button

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Enter Information Technology Center មជ�មណ� លពត�ន�ទ�អ�នធរ

33. �រ IImport ទ�ន!នយេចញព� AAccess File:

ឧ�ហរណ េយងចង Import File Excel មយេ< ះ= demo.mdb ដេច�ះសមអនវត>?មជBនដចCងេ#�ម


2. ចច Open Database >

3. ចច New Query >

4. េ�ក�ង#បអប ODBC Data Sources េ#ជសេរ សយក MS Access Database >

5. ចច Next Button >

6. ចច Browse Button េហយេgែស�ងរកទ?ងែដលផUក File េ+ះ >

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7. ចច OK Button

8. hប�ញេ< ះ Table (Ex: demo) ព#បអប Available Tables មកjកក�ង#បអប Retrieve Fields In This Orders >

9. ចច Finish Button

4. ល'ត:

1. បេង|តករងសនរមយ ដចCងេ#�ម េ�ក�ងកមវធ MS Word េហយjកេ< ះ= GSS.docx

2. បេង|ត File SPSS មយេហយេរ6បច#បេភទ ទន�នយេg?មករងCងេ#�ម េjយjកេ< ះ= GSS.sav

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�រអេង)តសង+ម,ច-ទេ/

GGeneral Social Survey 1.េតអ�ក,ន�យប+ ន?..............��

2.េភទរបសអ�កេឆ�យ �1: #ប�ស �2: #ស

3.េតអ�កប�� ប�រសក�េ�� ទប+� ន? �� ទ............

4.េត#គ��រអ�ករក#%កចនល%នប+ នក�ង1ែខ?

�0: � ន �1: តច/ង 100$ �2: 100$ - 399$

�3: 400$ - 799$ �4: 800$ - 1000$ �5: េ#ចន/ង 1000$

5.បច�ប�ន�េតអ�ក,នេធ��រេដម�រក#%កចនលែដររេទ?

�0: � ន �1:�រ�រេពញេ,ង �2: �រ�រេ#�េ,ង

�3: មខរបរ�U លខ�ន �4.ចលនវត>ន �5.េផ�ងៗ

6.�� ន�ព#គ��ររបសអ�ក?

�1: េ�លវ �2: ,ន#គ��រ �3. េ�ះ,យរេម,យ

7.េតអ�កចលចត>បទចេរ6ង#បេភទ�?

�1: សមយ �2: ប�ណ �3.មនចលចត>េ�ះ

8.េតអ�កចលចត>េមលទរទស�នែដរ រ េទ?

�1.ចលចត> �2.មនចលចត>

9.#បសនេបចលចត> េតបស��មយែដលអ�កេពញចត>/ងេគ?

�1:បស��ទទក �2:បស��េលខ5 �3:បស��េលខ3

�4:បស��អប�� 5:បស��េលខ9 �6:បស��%យន

�7:បស��CTN �8:បស��MYTV �9:បស��េផ�ងៗ

សមអរគណ



55. ល'ត:

1.េបកកមវធ Ms Excel េហយប�� លទន�នយដចCងេ#�ម

> Sheet ទ1 េនះ#តYវjកេ< ះ= class A semester 1

> Sheet ទ2 េនះ#តYវjកេ< ះ= class A semester 2



> Sheet ទ3 េនះ#តYវjកេ< ះ= class B semester 1

> Sheet ទ4 េនះ#តYវjកេ< ះ= class B semester 2

2.#តYវបែលងទន�នយ�ង 4 Cងេលេនះឲេg/ File SPSS េjយjកេ< ះដែដល



េមេរ�នទ� 3: រេប�ប Merge File ន�ង Compute Variable

1. �រ MMerge ទ�ន�នយប�� ល!� :

វធ��សេនះ េ បស�ប�ញទន�នយរបស File SPSS ប�� ល�� ែតមយ។មននងអនវត)េយង ត*វដង, គប

Variables �ងអស ត*វែត.នទរងដច�� ។ក�ងករណែដល Variables ៃន3�ង�ងពរខស�� េ6ះ ត*វ Rename 7

មនសនេបមនដេច�ះេទ 8នង.នប9: ក�ងេពល Merge។

Merge File ែបងែចក7ពរ បេភទគ: Add Cases នង Add Variables។

2. Add Cases:

គវធ��ស េ បស�ប�ញ Cases េចញព File ទ2 មក?កប�� ល�� េ@ក�ង File ទ1។

ឧ�ហរណទ1: េបកយក File SPSS ទ1 ែដល.នេHI ះ, Class A semester 1 ែដលេយងJនបេងKតេ@ក�ង េមេរLន

មនប6N បមកសមអនវត)3មជQនដចTងេ Uម:

1. ចច Data Menu >

2. Merge Files >

3. Add Cases >

4. ចច Browse េហយេ]េបកយក File SPSS ទ3 ែដល.នេHI ះ, Class B semester 1 ែដលេយងJន បេងKត

ក�ងេមេរLនមនដច�� >

5. ចច Continue Button >

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6. ចច OK Button

7. សម File Menu >

8. Save As >

9. ក�ង បអប Save in េ ជសេរ សកែនkងរកp File ទក >

10. ក�ង បអប File Name ?កេHI ះឲ8, Class AB semester 1 >


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ឧ�ហរណទ2: េបកយក File SPSS ទ 2 ែដល.នេHI ះ, Class A semester 2 ែដលេយងJនបេងKតេ@ក�ង

េមេរLនមនែដរ េហយអនវត)3មជQនដចTងេ Uម:


2. Merge Files >

3. Add Cases >

4. ចច Browse េហយេ]េបកយក File SPSS ទ4 ែដល.នេHI ះ, Class B semester 2 ែដលេយងJន បេងKត

ក�ងេមេរLនមនដច�� >


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6. ចច OK Button

7. សម File Menu >

8. Save As >




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33. Add Vairables:

គ7វធ��ស) េ បស�ប�ញ Variables េចញព File ទ2 មក?កប�� ល�� េ@ក�ង File ទ1។

ឧ�ហរណ:េបកយក File SPSS មយេHI ះ, Class AB Semester 1 ែដលេយងេទបនងJនបេងKតប6N បមក:


2. Merge Files >

3. Add Variables >

4. ចច Browse េហយេ]េបកយក File SPSS មយេHI ះ, Class AB Semester 2 ែដលេយងេទបនងJនបេងKតផង

ែដរ >


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5. ចច OK Button >


8. Save As >




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44. Compute Vairables: គ7វធ��ស)ែដល|ចឲេយងេធ}Uរគណ6ទេ]េល Variables មយចនន។

ឧ�ហរណទ1: រកពនNសរបរបសសស~�ងអសែដលេរLនJន 6 មខវ7� .នដច7ៈ Eng, Math, Com, SPSS, Excel

នង Access ។ េដម�អនវត)សមេបកយក File េHI ះ Class AB Year 1 ប6N បមក :

1. ចច Transform Menu >

2. Compute Variable >

3. េ@ក�ង បអប Target Variable សរេសរ�ក�, Total >

4. ក�ង បអប Numeric Expression: សមសរេសរ

Eng+Math+Com+SPSS+Excel+Access

5. ចច OK Button

ឧ�ហរណទ2: រកមធ�ម�គរបសសស~�ងអសែដលេរLនJន 6 មខវ7� .នដច7ៈ Eng, Math, Com, SPSS, Excel

នង Access ។ េដម�អនវត)សមេបកយក File េHI ះ Class AB Year 1 ប6N បមក :



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3. េ@ក�ង បអប Target Variable សរេសរ�ក�, Average >


(Eng+Math+Com+SPSS+Excel+Access)/6

5. ចច OK Button

5. ស�ក$េ%េល� IIF:

លក�ខណ� IF គេ បស�ប?កលក�ខណ� បែន�មេទLតេ] Target Variables ។ 3មឧ�ហរណTងេលគេយងJនរក

Average របសសស~�ងអស បែន តងចនចេនះគេយងេ ប IF េដម�រក Average របសសស~េភទ ប�សែតបេ�� ះ។

េដម�អនវត)សមេបកយក File េHI ះ Class AB Year 1 ប6N បមកសមអនវត)ដចTងេ Uម:



3. េ@ក�ង បអប Target Variable សរេសរ�ក�, MaleAverage >


(Eng+Math+Com+SPSS+Excel+Access)/6

5. ចច IF Button >

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6. េ ជសេរ សយក Include if case satisfies condition:

7. ក�ង បអបសមសរេសរ

Gender = "M"


9. ចច OK Button

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66. �រេ&'(បេធ�បអព�អព� AAnd (&) :

តៃលទ� 1 /� ប តៃលទ� 2 លទ7ផល True ((ពត) And (&) True ((ពត) True ((ពត)

True (ពត) And (&) False (មនពត) False (មនពត)

False (មនពត) And (&) True (ពត) False (មនពត)

False (មនពត) And (&) False (មនពត) False (មនពត)

7. �រេ&'(បេធ�បអព�អព� OOr ( | ) :

តៃលទ� 1 /� ប តៃលទ� 2 លទ7ផល True (ពត) Or (|) True (ពត) True (ពត)

True (ពត) Or (|) False (មនពត) True (ពត)

False (មនពត) Or (|) True (ពត) True (ពត)

False (មនពត) Or (|) False (មនពត) False (មនពត)

8. �រេ&'(បេធ�បអព�អព� NNot (~) :

/� ប តៃល លទ7ផល Not (~) True (ពត) False (មនពត)

Not (~) False (មនពត) True (ពត)

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99. សនរេ&ជសេរ?ស:

1. េដម� Merge ទន�នយប�� ល�� េត ត*វ.នលក�ណៈអ}ខkះ?

�A. Variables �ងអស ត*វែតេធ}Uរ Rename េ Uយេពលេធ}Uរ Merge រច�ល

�B. Variables �ងអស ត*វែត.នទរងដច�� ក�ងករណខស�� ត*វ Rename េ Uយេពល Merge រច�ល

�C. Variables �ងអស ត*វែត.នទរងដច�� ក�ងករណខស�� ត*វ Rename 8មននងេធ}Uរ Merge

2. ចរប¡: ញពលក�ណៈខស�� រ8ង Add Cases 7មយនង Add Variables?

�A. ចេលយ�ងពរTងេ Uមគពត7 តម ត*វ

�B. Add Cases េ ប Jសេដម��ញ Cases េចញព File ទ2 មក?កប�� ល�� េ@ក�ង File ទ1

�C. Add Variables េ ប Jសេដម��ញVariables េចញព File ទ2 មក?កប�� ល�� េ@ក�ង File ទ1។

3. េដម�រក Average ៃនមខវ7� �ង 6 មខ របសសស~េភទ សេត ត*វេធ}ដចេម)ចខkះ?

�A. 1. ចចTransform Menu > 2. Compute Variable > 3. ក�ង បអប Target Variable ?កេHI ះឲ8 >

4. ក�ង បអប Numeric Expression: យកមខវ7� �ង 6 បកចល�� > 5. ចច IF Button >

6. េរ សយក Include if case satisfies condition: > 7. ក�ង បអបសមសរេសរ Gender = F >

8. ចច Continue Button > 9. ចច OK Button

�B. 1. ចចTransform Menu > 2. Compute Variable > 3. ក�ង បអប Target Variable ?កេHI ះឲ8 >

4. ក�ង បអប Numeric Expression: យកមខវ7� �ង 6 បកចល�� េហយែចកនង 6 > 5. ចច IF Button >

6. េរ សយក Include if case satisfies condition: > 7. ក�ង បអបសមសរេសរ Gender = F >


�C. 1. ចចTransform Menu > 2. Compute Variable > 3. ក�ង បអប Target Variable ?កេHI ះឲ8 >

4. ក�ង បអប Numeric Expression: យកមខវ7� �ង 6 បកចល�� េហយែចកនង 6 > 5. ចច IF Button >

6. េរ សយក Include if case satisfies condition: > 7. ក�ង បអបសមសរេសរ Gender = "F" >







�របែលងទ�ន�នយ Data Transformation

1. Count Values within Cases:

��ត�វ�នេ�បស�ប�បចនន ែដល�នេ�ក�ង Variable មយ រ េ�ចន េ�!មលក"ខណ& ែដលចង�ន។

ឧ)ហរណទ1: ចរ�បចននពន2)ង 6 មខ របសសស3�� កៗ ែដល�នពន25បព 80 េឡងេ�។

េដម;អនវត=សមេបកយក File SPSS ែដល�នេ>? ះA Class AB year 1 េហយបE2 បសម:


2. Count Values within Cases >

3. េ�ក�ង�បអប Target Variable សរេសរKកេ>? ះឲ� Score80up >

4. សមចចបOQ នមខវRQ )ង 6 េEះែដល�នដចRៈ Eng, Math, Com, SPSS, Excel, Access េ�Kកក�ង �បអប

Numeric Variables: >

5. ចច Define Values Button >

6. េ�ជសេរ សយក Rang, value through HIGHEST: េហយបOd លេលខ 80 េ�ក�ង�បអប >

7.ចច Add Button >


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9. ចច OK Button

ឧ)ហរណទ2: ចរ�បចននពន2)ង 6 មខរបសសស3�� កៗ ែដល�នពន2តចRង 50 ។



3. េ�ក�ង�បអប Target Variable សរេសរKកេ>? ះឲ� Score49Down >




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6. េ�ជសេរ សយក Rang, LOWEST through value: េហយបOd លេលខ 49 េ�ក�ង�បអប >

7. ចច Add Button >


9. ចច OK Button

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ឧ)ហរណទ3: ចរ�បចននពន2)ង 6 មខរបសសស3�� ក ែដល�នពន25បព 5០ រហតដល 79 ។



3. េ�ក�ង�បអប Target Variable សរេសរKកេ>? ះឲ� From50To79 >




6. េ�ជសេរ សយក Rang: >

7. បE2 បមកបOd លេលខ 50 េ�ក�ង�បអប Rang >

8. បE2 បមកបOd លេលខ 79 េ�ក�ង�បអប through >



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11. ចច OK Button

22. Recode:

េនះRវធ��ស=ក�ង�រែកែ�បទន�នយ ព Variable មយេ�Rទន�នយេផ3ងមយេទ�ត។ក�ងករណេនះបE2 បពេធ��រ

Recode រច�លេហយ េយងនងទទល�ន Variable ែដល�នទន�នយថ?មយេទ�ត។

Recode �នពរ�បេភទដចRៈ

> Recode into Same Variables…

> Recode into Different Variables…។

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33. Recode into Same Variables:

Recode into Same Variables �ននយAបE2 បពេយង�នេធ��រ Recode រច�លេហយេEះ �នងលប Variable

5សេ5លេKយជនសមកវញនវ Variable ថ?ែដលេយងេទបែត�ន Recode រចេKយស�តេ�ទ!ងដែដល។

ឧ)ហរណ: េបកយក File SPSS ែដល�នេ>? ះA Class AB year 1 ែដលេ�ក�ង Variable មយែដល�នេ>? ះA

Gender �នតៃលពរគ M នង F ។ ចរេធ��រ Recode េKយប� រតៃលព M េ�R Male នងប� រតៃលព F េ�R Female ។

ដេច�ះសមអនវត=!មជ�នដច�ងេ��ម:

1. ចច Transform >

2. Recode into Same Variables >

3. Double Click េល Gender េដម;បOQ ន�េ�Kកក�ង�បអប String Variables: >

4. ចច Old and New Values Button >

5. េ��តងតបន Old Value ក�ង�បអប Value សរេសរ�ក�A M >

6. េ��តងតបន New Value ក�ង�បអប Value សរេសរ�ក�A Male >


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8. េ��តងតបន Old Value ក�ង�បអប Value សរេសរ�ក�A F >

9. េ��តងតបន New Value ក�ង�បអប Value សរេសរ�ក�A Female >




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44. Recode into DIfferent Variables:

Recode into Different Variables �ននយAបE2 បពេយង�នេធ��រ Recode រច�លេហយេEះ�មនលប Variable

5សេ5លេទ េKយ�ជនសមកវញ នវ�របែន�ម Variable ថ?ែដលេយងេទបែត�ន Recode រច។ េ�ក�ង Recode

into Different Variables តៃលថ?ែដលេយងេធ� Recode �ត�វែតRេលខ។

ឧ)ហរណ: េបកយក File SPSS ែដល�នេ>? ះA Class AB year 1 េKយេយងនងេធ��រ Recode េKយប� រ

> Average ែដល�នតៃល5បព 90 រហតដលតៃលខ�សបផត Recode េ�Rេលខ 1

> Average ែដល�នតៃល5បព 80 រហតដលតៃល 89 Recode េ�Rេលខ 2




> Average ែដល�នតៃល5បព 49 រហតដលតៃល)បបផត Recode េ�Rេលខ 6 ។

ដេច�ះសមអនវត=!មជ�នដច�ងេ��ម:


2. ចច Recode into Different Variables >

3. Double Click េល Average េដម;បOQ ន�េ�Kកក�ង�បអប >

4. ចច Old and New Values Button >

5. េ�ជសេរ សយក Rang, value through HIGHEST: េហយបOd លេលខ 90 េ�ក�ង�បអប >

6. េ��តង New Value ក�ង�បអប Value េលខ 1 >


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8. េ�ជសេរ សយក Rang: េហយបOd លេលខ 80 េ�ក�ង�បអប Range >

9. បOd លេលខ 89 ក�ង�បអប through >

10. េ��តង New Value ក�ង�បអប Value បOd លេលខ 2 >






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24. េ�ជសេរ សយក Rang, LOWEST through value: េហយបOd លេលខ 49 េ�ក�ង�បអប through >

25. េ��តង New Value ក�ង�បអប Value បOd លេលខ6 >



28. េ��តង Output Variable ក�ង�បអប Name: Kកេ>? ះA Mention >

29. ចច Change Button >

30 ចច OK Button

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55. Rank Cases:

Rank Cases �ត�វ�នេ�បេដម; េធ��រេរ�បចទន�នយេ�!មលKប ពតចេ�ធ រពធេ�តច។ ��ចអនវត=េ��ន

លះ�!ែតទន�នយ R�បេភទ Numeric ចែនកឯទន�នយ�បេភទR String មន�ចេធ��នេឡយ។

ឧ)ហរណ: េបកយក File SPSS ែដល�នេ>? ះA Class AB year 1 េហយសមេធ��រ Rank Cases ឲ ទន� នយេ�

ក�ងVariable មយេ>? ះA Average េKយកនតយកសស3�ែដល�នពន2Average ខ�សRងេគឲទទល�នេលខ1

េហយសស3�ែដល�នពន2ខ�សRងបន�បE2 បនង�នទទល�ន Rបន�បE2 បរហតដលសស3�ែដល�នពន2

Average )បRងេគ។ ដេច�ះសមអនវត=!មជ�នដច�ងេ��ម:


2. ចច Rank Cases >

3. បE2 បមកចចបOQ ន Average ឲមកេ�ក�ង�បអប Variable(s): >

4. េ��តង Assign Rank 1 to េ�ជសេរ សយក Largest value >

5 ចច OK Button

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66. Select Cases:

Select Cases គRមេធ��យមយ ក�ង�រដកហតទន�នយែដលេយងមន�ត�វ�រ េចញព�រវ�គ ។

Select �ត�វ�នែបងែចកR 4 �បេភទដចR:

> All cases

> If condition is satisfied

> Random sample of cases

> Based on time or case range

> Use filter variable ។

េដម;ចលេ��ន Select Cases :


2. ចច Select Cases

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77. If condition is satisfied:

Rមេធ��យមយ ក�ង�រ�សងយកទន�នយេ�!មលក"ខណ& ែដលេយង�ត�វ�រ។

ឧ)ហរណ: េបកយក File SPSS ែដល�នេ>? ះA Class AB year 1 េហយចរ�សងយកសស3ែដល�នមធ�ម�គ

5បព 50 េឡងេ�

1. េ�ជសេរ សយក If condition is satisfied >

2. ចច If Button >

3. េ��តង�បអប�ងេឆ�ង Double Click េល Average >

4. េហយេ��បអប�ងេលសរេសរ > = 50 >


6. ចច OK Button

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លទ ផលែដលទទល�នបE2 បព�រ�សងទន�នយគ�នបេង¡តនវ Variable ថ?មយ េKយប¢£ ញពត�នដចR:

> �បសនេបទន�នយែដល�ន�សង ពត េ�!មលក"ខណ& េEះ�ប¢£ ញ�ក�A Selected

> �បសនេបទន�នយែដល�ន�សង មនពត េ�!មលក"ខណ& េទ េEះ�ប¢£ ញ�ក�A Not Selected ។

88. Random sample of cases:

Rមេធ��យមយក�ង�រ�សងយកទន�នយេ�!មវធៃចដន�។

ឧ)ហរណទ1: េបកយក File SPSS េ>? ះA Class AB year 1 េហយចរ�សងយកទន�នយសស3 30% េចញព

ទន�នយសស3សរប។

1. សម Select យក Average >

2. េ�ជសេរ សយក Random sample of cases >

3. ចច Sample Button >

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4. េ�ជសេរ សយក Approximately េហយបOd លេលខ 30 េ�ក�ង�បអប >


7. ចច OK Button

ឧ)ហរណទ1: េបកយក File SPSS េ>? ះA Class AB year 1 េហយចរ ហតេKយៃចដន�នវទន�នយចនន

សស310Eក េចញពទន�នយសស3សរបចនន 20Eក។

1. សម Select យក Average >

2. េ�ជសេរ សយក Random sample of cases >

3. ចច Sample Button >

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4. េ�ជសេរ សយក Exactly េហយបOd លេលខ 10 េ�ក�ង�បអប�ងេឆ�ង >

5. បOd លេលខ 20 េ�ក�ង�បអប�ង�� >


7. ចច OK Button

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99. Based on time or case range:

Rមេធ��យមយ ក�ង�រ�សងយកទន�នយពចេE¦ ះមយេ� ទន�នយចេE¦ ះមយេទ�ត។

ឧ)ហរណ:េបកយក File SPSS េ>? ះA Class AB year 1 េហយចរ�សងយកទន�នយសស3ែដល�នេលខ េរ�ង

5បពទ 5 ដលទ 15 េចញពទន�នយសស3សរប។

1. េ�ជសេរ សយក Based on time or Case range >

2. ចច Range Button >

3. ក�ង�បអប First Case បOd លេលខ 5 >

4. ក�ង�បអប Last Case បOd លេលខ 15 >


10. Use filter variable:

ក�ងករណេនះេយងេ�បស�បដកេចញនវទន�នយ�ែដល�នតៃលេស?សន� រ�នលក"ណៈ Missing ។

ឧ)ហរណ: េបកយក File SPSS េ>? ះA Class AB year 1 េហយចរដកទន�នយសស3ែដល�នពន2សន�េ�ក�ងមខ

វRQ Math េចញពទន�នយសស3សរប។

1. េ�ជសេរ ស Use filter variable: >

2. ចច Math >

3. ចចបOQ ន Vairable Math ចលក�ង�បអប >

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111. ល�ត:

1.បេង¡ត File SPSS មយេហយេរ�បច�បេភទ ទន�យេ�!មករង�ងេ��ម េKយKកេ>? ះA SV (StudentVision) ។

ទស#នៈរបសន�ស#�តេ%េល��រស�ក'()បរេទស

1.េភទរបសអ�ក

�1.�ប§ស �2.�ស

2.េតអ�កកពងេរ�នេ��កលវទ�លយ�?

�1.RUPP �2.RULE �3.NUM �4.NORTON �5.េផ3ងៗ

3.េតអ�កកពងសក©មខជEញអ�ខ¦ះ?

�1.IT �2.Accounting �3.Banking �4.Management �5.េផ3ងៗ

4.េតអ�កកពងសក©ª� ទបE? ន?

�1.ª� ទ1 �2.ª� ទ2 �3.ª� ទ3 �4.ª� ទ4

5.េតមខវRQ របសអ�ក�ន)កទងRមយ��បរេទសែដររេទ?(េប¬? នសមរលងេ�សនរទ 11 )

�1.�ន �2.មន�ន

6.េតកម?វធសក©របសអ�ក�នបOd ល��បរេទសេទ?

�1.�ន �2.មន�ន

7.េប�ន េត��ខ¦ះ?

�1.អងេគ¦ស �2.��ង �3.ជបន �4.ចន �5.កេរ �6.េផ3ងៗ

8.េតអ�កគតA��គប�¬នែដររេទ?

�1.�គប�¬ន �2.មន�គប�¬ន

8.េតអ�ក�នេរ�នបែន�មេ��ងេ�ែដររេទ?

�1.�នេរ�ន �2.មន�នេរ�ន

9.េបេរ�ន េតR��អ�ខ¦ះ?


10.េតអ�ក®¦ ប�នេរ�ន��បរេទសពមនែដររេទ?

�1.®¦ ប �2.មន®¦ ប

11.េប®¦ ប េត��អ�ខ¦ះ?




12.េតអ�ក�នេរ�នអសរយៈេពលបE? នែដរ?

�1.តចRង1ª� �2.េ�ចនRង1ª�

13.េហតអ��នRអ�កេ�ជសេរ សេរ�ន��េនះ?

�1.ចនងចនលចត=�2.)កទងនងមខជនញ�3.ទផ©រ�រ¢រទ¯យ �4.េផ3ងៗ

14.ក�ង�រសក©បែន�មរបសអ�ក េត�ត�វ�រច�យអសបE? នដ ¦ រែដរស�បសក© ក�ង1ែខ?

$

15.េតអ�កចងឲកម?វធសក©�នKកបOd លនវ��បរេទសែដររេទ?

�1.ចង �2.មនចង

16.េត��បរេទស�មយែដលអ�កចងឲ�ន�រKកបOd លក�ងកម?វធសក©?


17.េតអ�កយលA��បរេទស�ន�រល�កែដររេទស�ប�រសក©របសអ�ក?

�1.មនល�ក �2.ធម?! �3.ល�ក

សមអរគណចេ�ះ�រផ�លRមតេ°បល សមជនពរឲទទល�នេRគជយក�ង�រសក©របសអ�ក។





េមេរ�នទ� 5: មល�� ន��ះៃនស!�"

1. ន�យមនយ:

មននង�នេដល រវ�គទន�នយ នង បក��យទន�នយ ��ចេយង�ត"វ#នចេនះដង%ង ែផ�កស)តផងែដរ

េដម*,យ�ស-ល នង ជយសរលក�ងេពលអនវត2។ ដេច�ះ េ5ក�ងេមេរ6នេនះនងេលកយកនវចនចស%នៗ

មយចនន របសមខវ9: ស)ត មកប,; ញ ែដលចនច=ងអសេនះគ#ន9ប=កទងនង រវ�គទន�នយ។

2. េ�$កង (Frequancies): ឧ=ហរណ: %ងេ� មេនះ9លទDផលៃនពនFគណតវទGរបសសសHមយI� កែដលទទល�ន។

ពនF �បកង (f) េ�បJបេធ6ប (f %)

1 2 3 4 5 6 7 8

4 5 2

10 15 8 4 2

8 10 4

20 30 16 8 4

សរប 50 100

សសHែដលទទល�នពនFមយ#នចនន 4 Mក�ត"វ9 8% ៃនចននសសHសរប។ 4 េPI េ�បកង(RមេSយ f)

េហយ 8 9េ�បកង គត9 % (RងេSយ f % ) ។ េ�បកងេធ6បៃនតៃលមយ 9ផលេធ6បរUងេ�បកងេMះ នង

េ�បកងសរប។ 3. មត (Mode):

មត គ9ទន�នយែដល#នចននខWស9ងេគ។

ឧ=ហរណ: %ងេ� មេនះ9េលខXវយតក#រែដលេគ�នលកSច

1 ;1 ;2 ;2 ;2 ;3 ;3 ;3 ;3 ;4 ;4 ;4 ;5 ;5 ;5 ;6 ;6 ;7 ។

េតេលខXវយត`ែដលលក�នេ�ចន9ងេគ?

ដេច�ះទន�នយែដល#នចននេលចេឡងេ�ចន9ងេគគ េលខ 3 ។

4. េមដ�ន (Median): គ9គ9cតែដលេ5ក d លេគ ល`េគសរេសរcត=ងេMះRមលSបេកន រ លSបចះរចេ�ជសេរ ស

យកcត ែដលេ5ក d ល`។េបសន9cតេ5ក d ល#ន2 េមដGនគ�ត"វយកcត=ង2 េMះបកចលe�

រចែចកនង2 ។

តក d លរបស Median = 21�n

ឧ=ហរណ: គណMេមដGនៃនចនន 3 ;4 ;4 ;5 ;5 ;6 ;7 ;7 ;8 ;8 ;9 ;10 ;10 ;11 ។

េយង�ន:: ចននតរបសចនន=ងអស#ន 14



MេXយ Median = 2114 �

= 7.5

េSយេមដGន#នចននពរ ែដលស)តេ5តទ 7 #នតៃលេសq 7 នង តទ 8 #នតៃលេសq 7 ។

ដេច�ះេមដGនគ 277 �

= 7

5. មធ,ម (Mean):

Mean = n

xxx n�� ....21

x 9cតែដល#ន ; n 9ចននតរបសcត។

ឧ=ហរណ: សសH#� ក�បលងវrs �រ 5 មខ�នពនFដច%ងេ� មៈ 5;5;6;7;8; ។

MេXយ ពនFមធuមរបសសសH = 5

87655 �� = 531

= 6.2

6. រង (Range): រងគ9ផលដក ៃនតៃលតចង នង តេដមរបសទន�នយែដលេរ6បRមលSបេកន។

ឧ=ហរណ: ទន�នយ%ងេ� មេនះ9ពនF របសសសH 5 Mកេ5ក�ងI� កេរ6នពរ គI� ក A នងI� ក B ។

I� ក A : 3; 4; 5; 6; 7;

I� ក B : 1; 3; 5; 7; 9;

គណMគyតៃនពនF រUងតេដម នងតចងៃនI� កនមយៗ ?

គyតI� ក A : 7 – 3 = 4

គyតI� ក B : 9 – 1 = 8

ដេច�ះ 4 នង 8 េPI Range ។

េយងសេង|តេឃញII� ក A នង I� កB #នេមដGន នងមធuម េសqe� គ 5 ។ បែនdពនFI� ក B #នគyត%~ ង9ង

I� ក A ។ េគIពនFI� ក B #នព�,យ%~ ង9ង ។

ឧ=ហរណ: ទន�នយ%ងេ� មេនះ9ពនF របសសសH 7Mកៈ 4; 4; 5; 6; 6; 6; 100

ទន�នយេនះ#នព�,យេខ�យពេ��ះពនFមយចននេទ6ត េ5េក6កៗe� បែនdេបេគពនតuRមរងគ

100 – 4 = 96 េឃញI រង#នតៃលធ បr: កIពនF#នព�,យ%~ ង 9ករណផFយព រពតៃនសសHែដលទទល

�ន ដេច�ះ រងពXចយក9 រ�នេឡយ។

ក�ងករណែដលរង�~ តe� �� យេពក េគ�ត"វបេង|តគyតមយេSយ តេ�ល 25% ៃនពនF=ប នង 25% ៃនពនFខWស

េហយេគយករងែត 50% ៃនពនF េ5ក d លែដលេPI Xងែទ ទល ( Interquartile Rang ) ។

7. -ងែទ8ទ�ល (Interquartile Range): ទល: ែបកែចកសនៃន រអេង|តមយ9 4ចែនកេសqe� ែដល#ន 3 ទលគ ទលទ1 (Q1); ទលទ2 (Q2);

ទលទ3 (Q3) ។

េដសល: ែបងែចកសនៃន រអេង|តមយ9 10ចែនកេសqe� ែដល#ន 9 េដសល D1;……..;D9 ។

ែពរសងទល: ែបងែចកសនៃន រអេង|តមយ9 100ចែនកេសqe� ែដល#ន 99 ែពរសងទល

P1..........P99 េគXចគណMទRងរបស ែពរសងទល Rមរបមនd%ងេ� ម:

Lp: (N +1) 100P

ឧ=ហរណ: ទន�នយ%ងេ� ម9ពនF របសសសH 16Mក

1; 3; 3; 5; 6; 7; 7; 9; 9; 10; 10; 11; 13; 15; 75; 100 ។



25% ៃនពនF=ប គ 1; 3; 3; 5

25% ៃនពនFខWស គ 13; 15; 75; 100

50% ៃនពនFក d ល គ 6; 7; 7; 9; 9; 10; 10; 11

ដេច�ះ រងគ 11 – 6 = 5 9ចេM~ ះXងែទ ទល។ េគេធ�រេប6បេនះ េគនង�នតៃលមយែដលផdលលទDផលល�មយ

េ=ះប9ទន�នយេMះ #នព�,យ%~ ង រ េខ�យកេSយ ។

ឧ=ហរណៈ %ងេ� មេនះគ9ប�: ��កែខកមqករ 15Mក ែដល�នេ�ជសេរ សេ5ក�ង�ក�មហនមយៈ

2018$; 1758; 1721$; 1637$; 2097$; 2047$; 2205$; 1787$; 2287$; 1940$; 2311$; 2054$; 2406$; 1471$; នង 1460$ ។

រក ទលទ 1 នង ទលទ 3 ៃន��កែខកមqករ?

ជ�នដបង�ត"វេរ6បទន�នយRមលSបេកនដច%ងេ� មៈ

1460$; 1471$; 1637$; 1721$; 1758$; 1787$; 1940$; 2038$; 2047$; 2054$; 2097$; 2205$; 2287$; 2311$ nig 2406$ ។

ទRង ទលទ1 Q1 = P25

� P25 : (15 +1) 10025

= 4

ទRង ទល ទ3 Q3 = P75

� P75 : (15 +1) 10075

= 12

8. គ<ត=មធ,ម:

ឧ=ហរណ: ឈqញពរMក�នទញ#ន 5 ក�លដចe� (ទងនគត9 Kg) ។

- #នែដលឈqញទ1 ទញ�នទងន 1; 3; 5; 7; 9; ។

- #នែដលឈqញទ2 ទញ�ន#នទងន 3; 4; 5; 6; 7 ។

មធuមទង#នរបសឈqញ=ងពរគ

1X 597531 ��

� = 525

= 5

2X 576543 ��

� = 525

= 5

េគសេង|តេឃញI មធuមទងន#នរបសឈqញ=ងពរ #នតៃលេសqe� �ននយI#នែដលឈqញ=ងពរ�ន

ទញ #នទងនមធuម 5Kg ដចe� ។

បែនdេបេគពនតuេេលគyតៃនទងន#ននមយៗ េធ6បនងមធuម x គ xi – X

េគ�នR�ងដច%ងេ� មៈ

R�ងឈqញទ1 R�ងឈqញទ2

ix if xi – X Xxi � ix if xi – X Xxi �

1 3 5 7 9

1 1 1 1 1

-4 -2 0 2 4

4 2 0 2 4

3 4 5 6 7

1 1 1 1 1

-2 -1 0 1 2

2 1 0 1 2

� 5 0 12 � 5 0 6

RមR�ង=ងពរ%ងេល េគសេង|តេឃញIផលបគគyតៃនទងន#ន ឈqញទ1 #នតៃលធ9ងគyតៃនទងន

#នឈqញទ2។េបេគយកផលបកគyតែចកនងផលបកេ�បកងេគ�នចនន 1 េPIគyត9មធuមRងេSយ

MAD ។



�

� ��

i

i

f

XxMAD

ដេច�ះ MAD1 = 512

= 2.4 នង MAD2 = 56

= 1.2

េSយគyត9មធuម MAD2 < MAD1 េគI#នែដលឈqញទ2 ទញ �ន#ន#នទងនេសq�ច9ង #នែដល

ឈqញទ1 ទញ�ន។ដេច�ះគyត9មធuមគ9មធuមៃនគyត។

9. ?រ,ង ((Variance) ន�ង គ<តស@ង� ((Standard Deviation):

េSយ xi – X #នតៃលអវជ:#ន េគេលក � �2Xxi � េគ�នៈ

R�ងទ1 R�ងទ2

ix xi – X � �2Xxi � ix xi – X � �2Xxi �

1 3 5 7 9

-4 -2 0 2 4

16 4 0 4

16

3 4 5 6 7

-2 -1 0 1 2

4 1 0 1 4

� 0 40 � 0 10

េបេគយកផលបក េរ ៃនគyតក�ងR�ងនមយៗ ែចកនងផលបកេ�បកង េគ�នចននមយេPI Uរuង Rង

េSយ� �22

��

�i

i

fXx

�

ដេច�ះ 85402

1 �� ; 25102

2 ��

ចែនកឯ គyតសdងS (Standard Deviation) 9រស េរៃនUរuង។

� �2�

� ��

i

i

fXx

�

ដេច�ះ 82.281 �� ; 41.122 ��

9. លេអ�ងស@ង� ((Standard Error): េ5ក�ងចនចេនះេយងXចគណMេេលលះេអ6ងសdងS S �នេSយ¤F លពគyតសdងS� ។

របមនdគ:

1�

�nnS �

េ5ក�ងឧ=ហរណ%ងេល េយងសមេលកយកទន�នយរបសឈqញទ1 មកេធ� រសក�។

េឃញI � = 2.82 នង n = 5 .េយងXចគណM S េSយេ�ប របមនd:

��

�15582.2S 3.15

10. ចេCG ះេជH=ក ((Confidental Interval) :

ឧប#Iេយងចង�ន�q នេេល�គរយៃនសន�ប9ជនែដល ចលចត2ព�រ Coca-cola នងPepsi ។េយងXច

េ�ជសេរ ស យកគរែដល#នមនសH 100Mក េហយេយង ឧប#Iេយងេឃញ#ន 50 Mកចលចត2ព� Pepsi



។គរមយេផHងេទ6ត#ន�ប9ជន 100Mក XចឲលទDផលេផHងមយេទ6ត។េត រ�ន�q នរបសេយងែដលI#ន

55% #ន�ពច�សyស©ងដចេមdចែដរ?េយង�ត"វេធ� រUសែវងេដម*រកឲេឃញIេត�គរយ`មយXច�តម

�ត"វ។

េដម*េឆ~យេនងសនរេនះ េយង�ត"វគណM ចេM~ ះេជ«9ក (C0nfidence Interval) ។េ5ក�ងឧ=ហរណ%ងេល

ចេM~ ះេជ«9កXចេ5ព (45,65) ែដលXច#ននយI�គរយពតXចស)តេ5កែន~ង`មយេ5ចេM~ ះព 45 េ

65 ។

េនះគ9របមនdេដម*គណM ចេM~ ះេជ«9ក ែដល#នែដនកណតចេM~ ះេជ«9ក 95% គ

� �nPPP �

196,1

ែដល P: 9�គរយគរ (is your sample percentage)

n: 9ទហគរ (is your sample size)

ចេ�ះចេM~ ះេជ«9ក 99% គ

� �nPPP �

158,2

អនវត2ចេ�ះឧ=ហរណ%ងេល P = 0.55 , n = 100

ដេច�ះេដម*អនវត2ចេ�ះរបមនdែដលេយងកនតចេM~ ះេជ«9ក 95% េយង�ន

� �� 0975.055.0100

45.055.096.155.0 ��

េយងទទល�ន Upper limit: � �� 6475.00975.055.0100

45.055.096.155.0 ��

Lower limit: � �� 4525.00975.055.0100

45.055.096.155.0 ��

�បសនេបេយងបក េយងទទល�នលទDផលែដន%ងេលគ Upper limit = 0.6475

�បសនេបេយងដក េយងទទល�នលទDផលែដន%ងេ� មគ Lower limit = 0.4525

េបេយង តខFង ៃន�គរយ=ងេនះ ចេM~ ះេជ«9ក 95% គ (45, 65) ។

ល�តទ1: គណMចេM~ ះេជ«9ក 99% េ5ក�ងឧ=ហរណ%ងេល

Rមឧ=ហរណ%ងេលេយង�ន P = 0.55 , n = 100

ដេច�ះេដម*អនវត2ចេ�ះរបមនdែដលេយងកនតចេM~ ះេជ«9ក 99% េយង�ន

� �� 1283.055.0100

45.055.058.255.0 ��

េយងទទល�ន Upper limit: � �� 6783.01283.055.0100

45.055.058.255.0 ��

Lower limit: � �� 4217.01283.055.0100

45.055.058.255.0 ��

�បសនេបេយងបក េយងទទល�នលទDផលែដន%ងេលគ Upper limit = 0.6783

េប�បសនេបេយងដក េយងទទល�នលទDផលែដន%ងេ� មគ Lower limit = 0.4517

េបេយង តខFង ៃន�គរយ=ងេនះ ចេM~ ះេជ«9ក 99% គ (42, 68) ។



ល�តទ2: គណMចេM~ ះេជ«9ក 95% នង 99% ចេ�ះករណែដលគរ�គរយរបសអ�ក#ន 30 េហយទហគរ

របសអ�ក (Sample size)#ន 400 ។

េយង�នៈ គរ�គរយ P = 30% = 0.30 , n = 400

គណMចេM~ ះេជ«9ក 95%

� �� 0449.03.0400

7.03.096.13.0 �

� Upper limit: 0.3 + 0.0449 = 0.3449 � Lower limit: 0.3 - 0.0449 = 0.2551 េបេយង តខFង ៃន�គរយ=ងេនះ ចេM~ ះេជ«9ក 95% គ(26% , 34%) គណMចេM~ ះេជ«9ក 99%

� �� 0591.03.0400

7.03.058.23.0 �

� Upper limit: 0.3 + 0.0591 = 0.3591 � Lower limit: 0.3 - 0.0591 = 0.2409 េបេយង តខFង ៃន�គរយ=ងេនះ ចេM~ ះេជ«9ក 99% គ (24%,36%) ។

ល�តទ3 : គណMចេM~ ះេជ«9ក 96% នង 98% ចេ�ះករណែដលគរ�គរយ (P) របសអ�ក#ន45 េហយ ទហគរ

(n) របសអ�ក#ន 250 ។

េយង�នៈ គរ�គរយ P = 45 = 0.45 ; ទហគរ n = 250


� �� 0645.045.0250

55.045.005.245.0 �



� �� 0729.045.0250

55.045.032.245.0 �




Areasin one tail of the normal curve at selected values of x /� from arithmetic mean.

This Table shows:

s /� .00 .01 .02 .03 .04 .05 .06 .07 .08 .09 0.0 .5000 .4960 .4920 .4880 .4840 .4801 .4761 .4721 .4681 .4641 0.1 .4602 .4562 .4522 .4483 .4443 .4404 .4364 .4325 .4286 .4247 0.2 .4207 .4168 .4129 .4090 .4052 .4013 .3974 .3936 .3897 .3859 0.3 .3821 .3783 .3745 .3707 .3669 .3632 .3594 .3557 .3520 .3483 0.4 .3446 .3409 .3372 .3336 .3300 .3264 .3228 .3192 .3156 .3121 0.5 .3085 .3050 .3015 .2981 .2946 .2912 .2877 .2843 .2810 .2776 0.6 .2743 .2079 .2676 .2643 .2611 .2578 .2546 .2514 .2483 .2451 0.7 .2420 .2389 .2358 .2327 .2296 .2266 .2236 .2206 .2177 .2148 0.8 .2119 .2090 .2061 .2033 .2005 .1977 .1949 .1922 .1894 .1867 0.9 .1841 .1814 .1778 .1762 .1736 .1711 .1685 .1660 .1635 .1611 1.0 .1587 .1562 .1539 .1515 .1492 .1469 .1446 .1423 .1401 .1379 1.1 .1357 .1335 .1314 .1292 .1271 .1251 .1230 .1210 .1190 .1170 1.2 .1151 .1131 .1112 .1093 .1075 .1056 .1038 .1020 .1003 .0985 1.3 .0968 .0951 .0934 .0918 .0901 .0885 .0869 .0853 .0838 .0823 1.4 .0808 .0793 .0778 .0764 .0749 .0735 .0721 .0708 .0694 .0681 1.5 .0668 .0655 .0643 .0630 .0618 .0606 .0594 .0582 .0571 .0559 1.6 .0548 .0537 .0526 .0516 .0505 .0495 .0485 .0475 .0463 .0455 1.7 .0446 .0436 .0427 .0418 .0409 .0401 .0392 .0384 .0375 .0367 1.8 .0359 .0351 .0344 .0336 .0329 .0322 0314 .0307 .0301 .0294 1.9 .0287 .0281 .0274 .0268 .0262 .0256 .0250 .0244 .0239 .0233 2.0 .0228 .0222 .0217 .0212 .0207 .0202 .0197 .0192 .0188 .0189 2.1 .0179 .0174 .0170 .0166 .0162 .0158 .0154 .0150 .0146 .0145 2.2 .0139 .0136 .0132 .0129 .0123 .0122 .0119 .0116 .0113 .0117 2.3 .0107 .0104 .0102 .00990 .00964 .00939 .00914 .00889 .00866 .0084 2.4 .00820 .00789 .00776 .00755 .00734 .00714 .00695 .00676 .00637 .0063 2.5 .00621 .00604 .00587 .00570 .00554 .00539 .00523 .00508 .00494 .00480 2.6 .00466 .00453 .00440 .00427 .00415 .00402 .00391 .00379 .00368 .00357 2.7 .00347 .00336 .00326 .00317 .00307 .00298 .00289 .00280 .00272 .00264 2.8 .00256 .00248 .00240 .00233 .00226 .00219 .00212 .00205 .00199 .00193 2.9 .00187 .00181 .00175 .00169 .00164 .00159 .00154 .00149 .00144 .00139



111. សនរេ�ជសេរNស:

1. ចររក មត ៃនតៃល 1 ;1 ;2 ;2 ;2 ;3 ;3 ;3 ;3 ;4 ;5 ;5 ;5 ;5 ;5 ;6 ;7 ;7 ;7 ;7 ;7 ។

�A. មត = 3

�B. មត = 5

�C. មត = 7

2. ចររក Median ៃនតៃល 1 ;1 ;2 ;2 ;2 ;3 ;3 ;3 ;3 ;4 ;5 ;5 ;5 ;5 ;5 ;6 ;7 ;7 ;7 ;7 ;7 ។

�A. Median = 3

�B. Median = 5

�C. Median = 7

3. េតXងែទ ទល (Interquartile Range) #នបMq ន�បេភទ? អ�ខ~ះ?

�A. 3 �បេភទដច9 ទល, េដសល, នង ែពរសងទល

�B. ទល, េដសល, នង ែពរសងទល

�C. ចេលយ A នង B គ9ចេលយ�តម�ត"វ




�រ��គទ�ន�នយ�មយ Frequencies 1. Frequencies:

ប�� បព�នេធ��រ�បមលនវ ទន�នយមកប�� លក�ងកម�វធ SPSS េហយ េ�ះនង$នេ%ដល វធ'(ស*ក�ង�រ

វ+គទន�នយ នងបក�'យេ%េលទន�នយែដលេយង�នវ+គេ�ះ។

Frequencies គវធ'(ស* ក�ង�រវ+គទន�នយ េ0យេធ��រ1បចនន រ 5យតៃល េ%េលទន�នយែដល8ន�បេភទ

: Qualitative Data (Nominal & Ordinal) ។

ឧ?ហរណ: េបកយក File SPSS មយែដល8នេ$� ះ Car.sav ។ េGក�ង File េនះគបHI ញនវទន�នយមយចនន

ែដល?កទងេ%នង�រេ�ប��សរថយន* េGLមតបនមយចនន។ Lមរយៈឧ?ហរណRងេល េយងនងេធ��រ

វ+គ េ0យចងដងT េតរថយន*របស�បេទសUែដល8ន+ពេពញនយម:ងេគ។

1. ចច Analyze Menu >

2. Descriptive Statistics >

3. Frequencies >

4. សមប�] ន Variable េ$� ះ Country of Origin [origin] មក0កក�ង�បអប Variable(s): >

5.ចច OK Button

6. Rងេ��មេនះ:លទ{ផលែដទទល�នេGក�ង SPSS Viewer

1

2 3

4

5



�របក�'យទន�នយ

េ0យេធ��រអេង~តេ%េលរថយន* 406 េ�គ�ង �នបHI ញឲេយងេឃញT ក�ងចេUមរថយន*?ងអសេ�ះ 8ន 3

�បេភទ គ American, European នង Japanese េ0យក�ងេ�ះ:

- រថយន* American 8នចនន 253 េ�គ�ង

- រថយន* European 8នចនន 73 េ�គ�ង

- រថយន* Japanese 8នចនន 79 េ�គ�ង

េGក�ងេ�ះ 8នរថយន* 1 េ�គ�ងមន�នកនត�បេភទរបស5េទ។

េ��យពេធ��រវ+គរចមក រថយន*ែដលេពញនយម:ងេគ គរថយន* American ែដល8នចននរហតដល 253

េ�គ�ថ េស�នង 62.3% នង រថយន*ែដលេពញនយមប�� ប គ រថយន* Japanese ែដល8នចនន 79 េ�គ�ង េស�នង

19.5% េហយនង រថយន*មនសវេពញនយមគរថយន* European ែដល8នចនន 73 េ�គ�ងេស�នង 18.0% ។

2. ស�ក"េ#េល� SStatistics (Central Tendency):

េGក�ង Frequencies ក�ចេធ��រវ+គេ%េលទន�នយែដល8ន Measure : Scale ផងែដរ។

ឧ?ហរណ: េបកយក File SPSS មយែដល8នេ$� ះT Class AB year 1 េ0យេធ��រវ+គេ%េលពន�សរប របស

សស�?ងអសដច: ចងដងព Mean, Median, Mode, Sum ។



3. Frequencies >

4. សមប�] ន Variable េ$� ះ Total មក0កក�ង�បអប Variable(s): >

5.ចច Statistics Button >

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2 3

6



6. េGក�ង�បអប Central Tendency សម Tick យក Mean, Median, Mode នង Sum >


Mean : ស1បែស�ងរកតៃលមធ�ម ។

Median : ស1បែស�ងរកតៃលតកU* ល។

Mode : ស1បែស�ងរកតៃលែដល8នចននខ�ស:ងេគ រ េលចេឡងេ�ចន:ងេគ។�បសន�រវ+គ�ន

សង~តេឃញT Mode 8នចននេ�ចន េ�ះ5នងយកលទ{ផល Mode Uែដល8នតៃលតច:ង

េគ។

Sum : ស1បែស�ងរកផលបកសរប?ងអស។


4 5

6

7




33. ស�ក"េ#េល� PPercentile Values (Quartiles):

Quartiles គែបកែចកសនៃន�រអេង~តមយ:បនចែនកេស�� ែដល8ន 25% , 50% នង 75% ។

ឧ?ហរណ: េបកយក File SPSS មយែដល8នេ$� ះT Class AB year 1 ប�� បមក:



3. Frequencies >



8

9

1

2 3



6. Tick យក Quartiles >




4 5

6

7

8



44. ស�ក"េ#េល� PPercentile Values (Cut Points):

Cut points គែបងែចកសនៃន�រអេង~តមយ:ដបចែនកេស�� រេ%Lមចននែដលេយង�នកនត។




3. Frequencies >



6. Tick យក Cut Points for េហយក�ង�បអបសមកនតេលខ 10 >


9

1

2 3

4 5





6

8

9

7



55. ស�ក"េ#េល� PPercentile Values (Percentiles):

Percentile(s): ែបកែចកសនៃន�រអេង~តមយ:មយរយចែនកេស�� រេ%Lមចននែដលេយង�នកនត ។

ឧ?ហរណ: េបកយក File SPSS មយែដល8នេ$� ះT Class AB year 1 ប�� បមក េយងចងែបកែចកសន:��

ចែនកេស�� ដេច�ះសមអនវត�Lមជ�នដចRងេ��ម:



3. Frequencies >



6. សម Tick យក Percentile(s) េហយេGក�ង�បអប Percentile(s) សមប�� លេលខ 20 >


8. េGក�ង�បអប Percentile(s) សមប�� លេលខ 40 >


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2 3

4 5

6 7








9 8

10 11

12 13

14





66. ស�ក"េ#េល� SStatistics (Dispersion):




3. Frequencies >



15

16

1

2 3



6. Tick យក

Std.deviation : ស1បែស�ងរកគ�តស*ង0រ (Standard deviation)

Variance : ស1បែស�ងរក5រ�ង។

Range : ស1បរកគ�តរ5ងទន�នយែដល?បបផតេ%ទន�យែដលខ�សបផត។

Minimum : ស1បរកទន�នយែដល8នតៃល?បបផត។

Maximum : ស1បរកទន�នយែដល 8នតៃលខ�សបផត។

S.E. mean (Standard Error Mean): ស1បែស�ងរកតៃល Standard Error Mean ។ >



4 5

6

7




77. �របេង&�ត Bar Charts:

ឧ?ហរណេបកយក File SPSS ែដល8ន�'បេGក�ង C:\Program Files\SPSS Evaluation\ Cars.sav។េGក�ង File

េនះគបHI ញនវទន�នយមយចននែដល?កទងេ%នង�រេ�ប��សរថយន* េGLមតបនមយចនន។េ��យព�រ

វ+គេយងនងទទល�ន L1ងលទ{ផល េហយនង Chart ។



3. Frequencies >


5.ចច OK Button

8

9

1

2 3



6. េ�ជសេរ សយក Bar charts >




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6

7

8



88. �របេង&�ត Pie Charts:



3. Frequencies >


5.ចច OK Button

6. េ�ជសេរ សយក Pie charts >


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2 3

4 5





6

7

8



99. �របេង&�ត Histograms:



3. Frequencies >


5.ចច OK Button

6. សម Tick យក�ក� With normal curve េដម ឲបHI ញែខ�េ�ង >



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2 3

4

6

5

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110. �របែន*ម DData Label េ#ឲ CChart:

1. ចច Double Click េល¡� ងរបស Chart >

8

1



2. េGក�ង¡� ង Chart Editor ចច Element Menu >

3. ចច Show Data Labels >

4. ប�� បមកសម Select េល Data Label >

5. េGក�ង�បអប Font Size េយង�ចេ�ជសេរ សេ%Lមតរវ�រ >

6. Close ¡� ង Chart Editor >

11. ស�ក"េ#េល� FFormat:

ឧ?ហរណ:េបកយក File SPSS ែដល8ន8នេ$� ះT Cars.sav ។េGក�ង File េនះគបHI ញនវទន�នយមយចនន

ែដល?កទងេ%នង�រេ�ប��សរថយន* េGLមតបនមយចនន។



3. Frequencies >


5.ចច Format Button >

2

3

4

5

6

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2 3



6. េG�តង Order by សមេ�ជសេរ សយកជេរ សUមយ >

Ascending values: ស1បតេរ£បតៃលរបសទន�នយLមល0បេកន (ពតៃលតចេ%តៃលធ)

Descending values: ស1បតេរ£បតៃលរបសទន�នយLមល0បេកនចះ (ពតៃលធេ%តៃលតច) ។

Ascending counts: ស1បតេរ£ប Frequencies របសទន�នយLមល0បេកន (ពតចេ%ធ) ។

Descending counts: ស1បតេរ£ប Frequencies របសទន�នយLមល0បចះ(ពធេ%តច) ។

7. េG�តង Multiple Variables សមេ�ជសេរ សយកជេរ សUមយ (ចនចេនះេ�ប�នចេ�ះ �រវ+គទន�នយ:មយ

នង Variables េ�ចន) >

Compare variables: ស1បបHI ញ Variables ?ងអសេGក�ង L1ង Statistics ែតមយ។

Organize output by variables: ស1បបHI ញ Variables ?ងអសេGក�ង L1ង Statistics េផ�ងៗ�� ។


12. ស�ក"�មយឧ-ហរណ:

ឧ?ហរណ:េបកយក File SPSS មយែដល8នេ$� ះT SV (Student Vision) ប�� បមកសមេធ��រវ+គនង បក

�'យ �ពម?ងបេង~ត Chart េ%េលទន�នយេនះLមសនរដចRងេ��ម:

1. េតនស�តប�� ន ¥¦ បេរ£ន+'បរេទស នងនស�តប�� នេទ£ត ែដលព¥¦ ប�នេរ£នពមនេ'ះ?

�រវ+គទន�នយ:



3. Frequencies… >

4

5

6 7

8



4. ប�] ន Variable " 11.Did you study Foreign Language before?[Q11] " េ%0កក�ង�បអប Variable(s) >

5. ចច Charts Button >

6. សមេ�ជសេរ សយក Bar Chart >

7. ចចបតង Continue >

8. ចច OK Button

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�របក�'យទន�នយៈ

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Lម�រអេង~តេGក�ងL1ងវ+គទន�នយRងេលេ%េលនស�តចនន 100 �កេយង�ចេធ��រ 5យតៃល�នT:

- 8ននស�ត ចនន 96 �ក�នបHI ញទស�នៈTពកេគ¥¦ ប�នសក«+'បរេទស

- 8ននស�ត ចនន 1 �ក�នបHI ញទស�នៈTេគព¥¦ ប�នសក«+'បរេទសេ'ះ

- នង8ននស�ត ចនន 3 �កមន�នបHI ញនវទស�នៈ¡� លខ¦ន េ%េល�រសក«+'បរេទស េទ។

2. េតនស�តប�� ន:េភទ�ប¬ស នង ប�� នេទ£ត:េភទ�ស?




3. Frequencies… >

4. ប�] ន Variable " 1. You sex? [Q1] " េ%0កក�ង�បអប Variable(s) >


6. សមេ�ជសេរ សយក Pie Chart >


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8. ចច OK Button

�របក�'យទន�នយ:

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Lម�រអេង~តRងេលេនះ េធ�ឲេយង�ចដងT ក�ងចេUមនស�តចនន 100 �ក8ននស�ត 3�ក គត:+គ

រយេស�នង 3% មន�នបHI ញពត8ន។ េហយនស�តែដលចលរមក�ង�រអេង~ត េភទ�ប¬ស8នចនន 61�ក គត:

+គរយេស�នង 61% នង េភទ�ស8នចនន 36�ក គត:+គរយេស�នង 36%។

3. េតនស�តប�� ន េរ£នអសរយៈេពលតច:ង1 � េហយប�� នេទ£តេរ£នអសរយៈេពលេ�ចន:ង1 � ?

�រវ+គទន�នយៈ



3. Frequencies… >

4. ប�] ន Variable " 13. How long have you been studying Foreign Language? [Q13] " េ%0កក�ង�បអប Variable(s)

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8. ចច OK Button

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Lម�រL1ងេនះ�នបHI ញលទ{ផលTក�ងចេUមនស�តចនន100�ក�នចលរមក�ង�រ អេង~ត8នៈ

- នស�តចនន 4�កេស�នង 4% មន�ន��បពពត8នរបសពកេគ

- នស�តចនន 72�កេស�នង 72% �នសក«+'បរេទស អសរយៈេពល:ង 1 � កន¦ងមកេហយ

- នស�តចនន 24�កេស�នង 24% េទបែត�នសក«+'បរេទសមន?ន�ន1 � េGេឡយេទ។



4.េតនស�តប�� ន8ន�រល�ក ក�ង�រសក«+'បរេទស នង ប�� នេទ£តមន8ន�រល�ក?




3. Frequencies… >

4. ប�] ន Variable " 18. Do you think it is difficult? [Q18] " េ%0កក�ង�បអប Variable(s) >




8. ចច OK Button

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ដេច�ះLមទន�នយ ែដល�នទទល�នក�ងចេUមនស�តចនន100�កពL1ង េធ�ឲេយង�ចេធ��រវ+គ េ%េល

ទស�នៈនស�តែដល�នបHI ញTៈ

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-នស�តចនន 33�កេស�នង 33% គ8នស+ពធម�L ចេ�ះ�រសក« +'បរេទស

- នស�តចនន 43�កេស�នង 43% គ8ន+ពល�ក²ងR¦ ងក�ង�រសក« +'បរេទស

- នស�តចនន 5�កេស�នង 5% មន�នបេ�� ញទស�នៈរបសខ¦នេ'ះ។

13. សនរេ=ជសេរ?ស:

1. ចរឲនយមនយ Frequencies?

�A. Frequencies គវធ'(ស*ក�ង�រវ+គទន�នយ េ0យេធ��រ1បចនន រ 5យតៃល េ%េលទន�នយែដល8ន

�បេភទ: Quantitative Data (Scale) ។

�B. Frequencies គវធ'(ស*ក�ង�រវ+គទន�នយ េ0យេធ��រ1បចនន រ 5យតៃល េ%េលទន�នយែដល8ន

�បេភទ: Qualitative Data (Nominal & Ordinal) ។

�C. Frequencies គវធ'(ស*ក�ង�រវ+គទន�នយ េ0យេធ��រ1បចនន រ 5យតៃល េ%េលទន�នយែដល8ន

�បេភទ: Quantitative Data (Nominal & Ordinal) ។

2. េតេG�តង Central Tendency 8ន Option អ�ខ¦ះ?

�A. Quartiles, Cut points for, Percentiles(s)

�B. Mean, Median, Mode, នង Sum ។

�C. Std. deviation, Variance, Range, Minimum, Maximum, S.E. mean

3. េGក�ង Frequencies 8ន Charts ប�� ន�បេភទ? អ�ខ¦ះ?

�A. 8នប�បេភទដច: Bar Chart, Pie Chart, នង Histogram

�B. 8នពរ�បេភទដច: Bar Chart, នង Pie Chart

�C. 8នមយ�បេភទដច: Bar Chart





េមេរ�នទ� 7: �រ��គទ�ន�នយ�មយ Descriptive

1. Descriptive:

Descriptive Analysis គ��រសកេ�េល�រវ�គទន�នយេ�យេធ��រ�យតៃល�មធ�មចេ!ះទន�នយែដល

%ន&បេភទ� Quantitative (Scale) ។

ឧ-ហរណ: េគ1នេធ��រអេង4តេ5ក�ងតបនដធមយ េដម;សក�យតៃលេ�េល Revenue/Year របស &គ>?រន

មយៗេ5ក�ងតបនេBះេផEងៗF� ។ ទន�នយែដលទទល1ន មកព File SPSS មយែដល%នេIJ ះK Sale.sav ។

�រវ�គទន�នយ:



3. ចច Descriptives… >

4. បWX ន Variable មយេIJ ះK Revenue[revenue] ចលក�ង&បអប Variable(s) >

5. ចច OK Button

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�របក&?យទន�នយៈ

េ5ក�ង�រអេង4តេ�េល 1500 &គ>?រ េ5ក�ងតបនដធេនះ %ន 1488 &គ>?របេkm ះែដល1នផqលពត%នសqអព

Revenue/Year របសពកេគ។ចែនកឯ &គ>?រ 12 េទ{តព1នផqលពត%នេទ។

|មរយៈលទ}ផល~ងេលែដលេយង1នវ�គរចមក េយង�ច�យតៃល1នK &គ>?រនមយៗ ែដលរសេ5ក�ង

តបនេនះ%ន Revenue/Year -បបផតចនន $13 នង%ន Revenue/Year ខ�សបផតចនន

$6,213 េហយ%ន Revenue/Year �មធ�មចនន $2,516.58 េហយេគ�ចដង1នេទ{តK េ5ក�ងតបនេនះ%ន Std.

Deviation ចនន $994.586។

- %ននយKចនល�មធ�មគចនន $2,516.58 ែដល�ច%នបែរបរលព $994.586 រ -$994.586 ។

- ករណខ�ះទន�នយខ�ះ%នគ�តធែដល�ច%នឥទ}ពលេ�េល�រវ�គ ែដលេយង&ត�វព�រkមន

េពលវ�គKេតគរដកទន�នយkេចញ។ឧ-ហរណៈេបេយងចងសកែតក�ងចេB� ះព $50 េ� $5000េBះ

ទន�នយែដលេ5េ&�ចេB� ះព $50 េ� $5000 គ&ត�វ1នកនតK� Outlier

22. ស�ក"េ#េល� OOptions: ឧ-ហរណ: េបកយក File SPSS មយែដល%នេIJ ះK SV (Student Vision)។េពលេនះេយងនងេធ��រវ�គេ�យ

ចងដងពចនចមយចននែដល-កទងេ�នង�រចkយរបសនសEត-ងអសេBះក�ង�រចkយ េ�េល�រ

សក�?បរេទស។




3. ចច Descriptives… >

4. បWX ន Variable មយេIJ ះK "15.How much Dollars do you spend per month?[Q15] " ចលក�ង&បអប Variable(s)

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5. ចច Options Button >

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6. Tick េ5យក Mean, Sum, Std. deviation, Variance, Range, Minimum, Maximum, S.E.mean >

7. Continue Button >

8. ចច OK Button

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ស�ប�រសក�?បរេទសេហយ េយងសេង4តេ�េលនសEត -ងអសេBះេឃញK%ន នសEតចនន 8Bក

មន1នចលរមក�ង�រេឆ�យសនរ។េយង�ច�យតៃល1នKក�ង�រសេង4តេនះេយង�ចដង1នK គ�តរ�ង

&1កចkយ ពតចបផត េ�េ&ចនបផត របសនសEតក�ង�រចBយ&ប�ែខេ�េល�រសក�?បរេទសគ%ន

ចនន $497.00/ែខ។ចេ!ះនសEត ែដលចkយ&1កស�ប�រសក �?បរេទសតចបផត គ%នចនន

$3.00/ែខ រឯនសEតែដលចkយ&1កស�ប�រសក�?បរេទសេ&ចនបផតវញគ%នចនន $500.00/ែខ។

ចេ!ះ�រចkយរបសនសEតសរប-ងអស %នចនន $3,177.00។េ5ក�ង�រអេង4តេនះផងែដរនសEតែដល

ចkយ&1ក�មធ�មេ�េល�រសក�?បរេទស គ%នចនន $34.5326/ែខ នង%ន Standard Error of Mean

គ%នចនន $6.88993/ែខ រឯ Variance វញគ%នចនន $4367.351។

3. សនរេ%ជសេរ'ស:

1. ចរឲនយមនយ Descriptive Analysis?

�A. Descriptive Analysis គ��រសកេ�េល�រវ�គទន�នយេ�យេធ��រ�យតៃល�មធ�មចេ!ះទន�នយ

ែដល%ន&បេភទ� Quantitative (Scale) ។

�B. Descriptive Analysis គ��រសកេ�េល�រវ�គទន�នយេ�យេធ��រ�យតៃល�មធ�មចេ!ះទន�នយ

ែដល%ន&បេភទ� Qualitative (Scale) ។

�C. Descriptive Analysis គ��រសកេ�េល�រវ�គទន�នយេ�យេធ��រ�យតៃល�មធ�មចេ!ះទន�នយ

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2. េតេ5&តង Central Tendency %ន Option អ�ខ�ះ?




3. េ5ក�ង Descriptives Options %នអ�ខ�ះ?

�A. Mean, Sum, Std. deviation, Variance, Range, Minimum, Maximum, S.E. mean

�B. Mean, Sum, Deviation, Variance, Range, Minimum, Maximum, S.E. mean

�C. Mean, Sum, Deviation, Variance, Range, Minimum, Maximum, S. mean




�រ��គទ�ន�នយ�មយ Compare Mean 1. ន�យមនយ:

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&បេភទ� Quantitative (Scale) េហយេធ��រែបងែចក�&ក-មៗ ប/0 បមកេធ��រ2បចនន រ �យតៃលេ�4ម

ទន�នយ&បេភទ Qualitative Data (Nominal & Ordinal) ។ Compare Mean 7ចដេន�រេ�8ន 7&សយេ�យ

%ន�រចលរមព Variable &បេភទ Quantitative មយ �មយនង Variable &បេភទ Qualitative មយឬេ&ចន ។

2. រេប�ប��គន�បក"#យ:

េបកយក File SPSS មយែដល%នេ>? ះ@ SV (Student Vision) ។េពលេនះេយង នងេធ��រេ&បAបេធBបរ�ង &8ក

ចEយGងអស របសនសIតេ�េល�រ សក�Jឲបរេទស�មយនង JកលវទLលយ ែដលពកេគ Gង

អសេ/ះ 8នេរBនែដល%នដច� RUPP, RULE, NUM, NORTON នង JកលវទLលយមយចននដៃទេទBត។



2. Compare Means >

3. Means… >

4. បhj ន Variable េ>? ះ@ "15. How much Dollars do you spend per month?[Q15] " ចលក�ង&បអប Dependent List:

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5. បhj ន Variable េ>? ះ@ "2 Which university are you studying [Q2]? " ចលក�ង&បអប Independent List: >

6. ចច OK Button

�របក&Jយទន�នយ:

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ដេច�ះ េ&�យពទទល8នលទ�ផល ែដល8នGញេចញព42ងេយងនងេធ��របក&Jយ េ�4មដEកៗ េដម�

ឲ%ន�ព�យ&ស�លក�ង�រែស�ងយល នង �យ&ស�លក�ង�រសន�� ន។

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�Jបរេទស ចនន $19.0500/ែខ នង%ន Std.Deviation ចនន $16.26904/ែខ។

-នសIតេរBនេ�JកលវទLលយ ភមន0 នត�J� (RULE) ចនន 8/ក8នចEយ&8ក�មធ�មេ�េល�រសក


-នសIតេរBនេ�JកលវទLលយ�ត&គប&គង (NUM) ចនន 39/ក8នចEយ&8ក�មធ�មេ�េល�រសក


-នសIតេរBនេ�JកលវទLលយ នរតន (NORTON) ចនន 8/ក8នចEយ&8ក�មធ�មេ�េល�រសក


-នសIតេរBនេ�JកលវទLលយដៃទេទBតចនន 17/ក8នចEយ&8ក�មធ�មេ�េល�រសក�J

បរេទស ចនន $20.4118/ែខ នង%ន Std.Deviation ចនន $17.54658/ែខ។

3. រេប�បបែន%ម OOptions:

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2. Compare Means >

3. Means… >



4. បhj ន Variable េ>? ះ@ " Revenue [revenue]" ចលក�ង&បអប Dependent List: >

5. បhj ន Variable េ>? ះ@ " Territory [region]" ចលក�ង&បអប Independent List: >

6. ចច Options Button >

7. សមេ&ជសេរ សយក Options មយចននដច ងេ&�មពក�ង&បអប Statistics េ��កក�ង Cell Statistics: >

- Mean

- Number of Cases

- Standard Deviation

- Std. Error of Mean

- Median

- Range


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2 3

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8



9. ចច OK Button

�របក&Jយទន�នយ:

4មរយៈលទ�ផលែដល8នវ�គរចមក េធ�ឲេយង7ច�យតៃល8ន@:

េ�តបន North ែដល%ន&ប�ជនចនន 379 &គ�Jរ %ន&8កចនល&ប£¤� �មធ�ម ចនន $2,449.06 នង%ន

Std. Error of Mean ចនន $50.687 ។េហយេគដង@េ�ក�ងតបនេនះ%ន Std.Deviation ចនន $986.765 នង%ន

គ¥ត&8កចនល រ�ង&គ�Jរែដល%ន&8កចនលGបេ�&គ�Jរែដល%ន&8កចនលខ¦ស%នចនន $5,750 ។

ចែនក&គ�Jរែដល%ន&8កចនលេ�ករតកE� ល%នចនន 2,408.78។

េ�តបន South ែដល%ន&ប�ជនចនន 342 &គ�Jរ%ន&8កចនល&ប£¤� �មធ�ម ចនន $2,520.71 នង%ន

Std. Error of Mean ចនន $55.874។ េហយេគដង@េ�ក�ងតបនេនះ%ន Std.Deviation ចនន $1,033.286 នង%ន

គ¥ត&8កចនល រ�ង&គ�Jរែដល%ន&8កចនលGបេ�&គ�Jរែដល%ន &8កចនលខ¦ស%នចនន $6,179។

ចែនក&គ�Jរែដល%ន&8កចនលេ�ករតកE� ល%នចនន $2497.33។

េ�តបន East ែដល%ន&ប�ជនចនន 372 &គ�Jរ%ន&8កចនល&ប£¤� �មធ�ម ចនន $2,528.82 នង%ន Std.

Error of Mean ចនន $50.013។េហយេគដង@េ�ក�ងតបនេនះ %ន Std. Deviation ចនន $964.620 នងគ¥ត&8ក

ចនលរ�ង&គ�Jរែដល%ន&8កចនលGបេ�&គ�Jរ ែដល%ន&8កចនលខ¦ស%នចនន $5,405 ។ចែនក&គ�Jរ

ែដល%ន&8កចនលេ�ករតកE� ល%នចនន $2,542.17។

េ�តបន West ែដល%ន&ប�ជនចនន 395 &គ�Jរ%ន&8កចនល&ប£¤� �មធ�ម ចនន $2,526.25 នង%ន

Std. Error of Mean ចនន $50.112។េហយេគដង@េ�ក�ងតបនេនះ %ន Std. Deviation ចនន $995.963 នងគ¥ត

9



&8កចនលរ�ង&គ�Jរែដល%ន&8កចនលGបេ�&គ�Jរ ែដល%ន&8កចនលខ¦ស%នចនន $4,884 ។ចែនក

&គ�Jរែដល%ន&8កចនលេ�ករតកE� ល%នចនន $2,504.70 ។

សរបមកេ�ក�ងតបនGងបនេនះ ែដល%ន&ប�ជនចនន 1488 &គ�Jរ%ន&8កចនល&ប£¤� �មធ�ម ចនន

$2,516.58 នង%ន Std. Error of Mean ចនន $25.783 ។េហយេគដង@េ�ក�ងតបនេនះ %ន Std. Deviation ចនន

$994.586 នងគ¥ត&8កចនលរ�ង&គ�Jរែដល%ន&8កចនលGបេ�&គ�Jរ ែដល%ន&8កចនលខ¦ស%ន

ចនន $6,201 ។ចែនក&គ�Jរែដល%ន&8កចនលេ�ករតកE� ល%នចនន $2,490.68 ។

4. ឧ'ហរណ:

េបកយក File SPSS មយែដល%នេ>? ះ@ SV (Student Vision) ។េយងនងេធ��រេ&បAបេធBបមយេទBត េ�យេលក

យកនវទន�នយរបសនសIតែដលសក £បព ¤� ទ1 រហតដល¤� ទ4 �មយនង&8កចEយេ�េល�រសក

�Jបរេទសរបសរបសពកេគ។



2. Compare Means >

3. Means… >

4. បhj ន Variable េ>? ះ@ " 15. How much Dollars do you spend per month?[Q15] " ចលក�ង&បអប Dependent

List: >

5. បhj ន Variable េ>? ះ@ " 4. Which year are you studying? [Q4] " ចលក�ង&បអប Independent List: >


7. បhj ន Variable េ>? ះ@ " 1. You sex?[Q1] " ចលក�ង&បអប Independent List: >

8. ចច OK Button

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2 3

4

5

6



�របក&Jយទន�នយៈ

5. ល+ត:

ចរេធ��របក&Jយទន�នយ េ�ក�ងឧGហរណចនចទ 4 ឲ8នេក¨ះក¨យ។

7

8




�រ��គទ�ន�នយ�មយ Crosstabs 1. Crosstabs:

Crosstabs Analysis គ��រសកវ�គ នង�យតៃលទន�នយេ�យេធ��រ�បចនន រ �យតៃលេ#េលទន�នយ

េ�យបង$េឡងេ�យ Variables ពរ�តែខ�ង*� េហយ,ចអនវត/�មយនងទន�នយែដល3ន4បេភទ� Qualitative

Data (Nominal រ Ordinal) ែតបេ9: ះ។

ឧ>ហរណ: េយងនងេធ��រវ�គេ�យចងដងអព�រEររបសអ�កែដលរសេFតបនមយែដល3នចនន4ប3ណ

1500 4គJKរ េហយេយងនងេធ��រែបងែចក�តបនតចៗ នងែបងែចកេ#Pម4បេភទ�រEរ។ទន�នយែដលទទល

Rន មកព File SPSS មយែដល3នេWX ះY Sales.sav ។



2. ចច Descriptive Statistics >

3. ចច Crosstabs >

4. ប f ន Variable េWX ះY Industry[Industry] ចលេ#ក�ង4បអប Row(s): >

5. ប f ន Variable េWX ះY Territory[region] ចលេ#ក�ង4បអប Column(s): >

6. ចច OK Button

�របក4Kយទន�នយ:

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2

3

4

5

6



េ�យេធ��រអេង$តេFក�ងតបនដធេ�ះ េយងទទលRនពត3នអព�Eរ របសអ�កែដលរសេFក�ងតបនេ�ះ

ចនន 15004គJKរ ក�ងេ�ះែដរ េយងRនែបងែចក�តបនតចៗ នងែបងែចកេ#Pម4បេភទ�រEរែដលលទ�ផល

ទទលRនគៈ

- 137 4គJKរ រសេFក�ងតបន North េហយបេរ �រេ,យ Government

- 112 4គJKរ រសេFក�ងតបន South េហយបេរ �រេ,យ Government

- 119 4គJKរ រសេFក�ងតបន East េហយបេរ �រេ,យ Government

- 114 4គJKរ រសេFក�ងតបន West េហយបេរ �រេ,យ Government

សរបមក3ន4គJKរចនន 502 4គJKរRនបេរ �រEរេFក�ង Government

- 124 4គJKរ រសេFក�ងតបន North េហយបេរ �រេ,យ Commercial

- 128 4គJKរ រសេFក�ងតបន South េហយបេរ �រេ,យ Commercial

- 128 4គJKរ រសេFក�ងតបន East េហយបេរ �រេ,យ Commercial

- 138 4គJKរ រសេFក�ងតបន West េហយបេរ �រេ,យ Commercial

សរបមក3ន4គJKរចនន 518 4គJKរRនបេរ �រEរេFក�ង Commercial

- 121 4គJKរ រសេFក�ងតបន North េហយបេរ �រេ,យ Academic

- 105 4គJKរ រសេFក�ងតបន South េហយបេរ �រេ,យ Academic

- 118 4គJKរ រសេFក�ងតបន East េហយបេរ �រេ,យ Academic

- 136 4គJKរ រសេFក�ងតបន West េហយបេរ �រេ,យ Academic

សរបមក3ន4គJKរចនន 480 4គJKរRនបេរ �រEរេFក�ង Academic

ដេច�ះេយងសេង$តេឃញYេFក�ងចេ9ម 1500 4គJKរ3នៈ

- 382 4គJKរ រសេFក�ងតបន North

- 345 4គJKរ រសេFក�ងតបន South

- 375 4គJKរ រសេFក�ងតបន East

- នង3ន 398 4គJKររសេFក�ងតបន West

2. �របែន"ម CChart:






4. ប f ន Variable េWX ះY Industry[Industry] ចលេ#ក�ង4បអប Row(s): >

5. ប f ន Variable េWX ះY Territory[region] ចលេ#ក�ង4បអប Column(s): >

6. សម Tick ក�ង4បអប Display clustered bar charts >

7. ចច OK Button

8. �ងេ4�មេនះ �លទ�ផលរបស Chart ែដលទទលRន

33. Crosstabs 2 Variables:

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3

4

5

6

7



ឧ>ហរណ: េបកយក File SPSS មយែដល3នេWX ះY SV (Student Vision) ។េពលេនះេយងនងេធ��រវ�គេ�យ

ចងដងពទស�នៈរបសនស�តែដលមកពKកលវទ�លយេផ�ងៗ Yេតពកេគេរ�ន�Kបរេទស េ�យKរ ចនង

ចនលចត/ >កទងនងមខជនញ រ េ�យKរទផរ�រEរទ�យ។





4. ប f ន Variable េWX ះY 3.Which faculty are you studying?[Q3] ចលេ#ក�ង4បអប Row(s): >

5. ប f ន Variable េWX ះY 14.Why do you choose this Foreign Language?[Q14] ចលេ#ក�ង4បអប Column(s): >

6. សម Tick ក�ង4បអប Display clustered bar charts >

7. ចច OK Button

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�របក4Kយទន�នយ:

�លទ�ផលែដលេយងទទលRនស�ប�រវ�គទន�នយេ4�មទរង Crosstab Analysis នង4ត�វRនបក4Kយដច

�ងេ4�មៈ

នស�តែផ�ក IT

- ចនន 5�ក សក�Kបរេទសេ�យKរ ចណងចណលចត/

- ចនន 8�ក សក�Kបរេទសេ�យKរ >កទងនងមខជនញ

- ចនន 19�ក សក�Kបរេទសេ�យKរ ទផរ�រEរទ�យ

- ចនន 1�ក សក�Kបរេទសេ�យKរ មលេហតមយចននេផ�ងៗេទ�ត

សរបចនននស�តែផ�ក IT ែដលចលរមក�ង�រេឆ�យសនរ3នចនន 33�ក។

នស�តែផ�ក ACCOUNTING






សរបចនននស�តែផ�ក ACCOUNTING ែដលចលរមក�ង�រេឆ�យសនរ3នចនន 16�ក។

នស�តែផ�ក BANKING





សរបចនននស�តែផ�ក BANKING ែដលចលរមក�ង�រេឆ�យសនរ3នចនន 13�ក។

នស�តែផ�ក MANAGEMENT




សរបចនននស�តែផ�ក MANAGEMENT ែដលចលរមក�ង�រេឆ�យសនរ3នចនន 7�ក។

នស�តែផ�កដៃទេទ�ត





សរបចនននស�តែផ�កដៃទេទ�ត ែដលចលរមក�ង�រេឆ�យសនរ3នចនន 27�ក។

4. Crosstabs 3 Variables:

ក�ងករណេនះ គ3នលក�ណៈ4ប�ក4បែហល*� េ#នង Crosstabs 2 Variables ែដរ បែន��Rនេធ��របែបក

ទន�នយរបស Variables ឲ3ន�ពលអត�ងេនះេ#េទ�ត។

ឧ>ហរណ: េបកយក File SPSS មយែដល3នេWX ះY SV (Student Vision) ។េពលេនះេយងនងេធ��រវ�គេ�យ

ចងដងពទស�នៈរបសនស�តែដលមកពKកលវទ�លយេផ�ងៗ Yេតពកេគេរ�ន�Kបរេទស េ�យKរ ចនង

ចនលចត/ >កទងនងមខជនញ រេ�យKរទផរ�រEរទ�យ េហយមនែតបេ9: ះ េយងនងេធ��រែបកែចក

េ�យចងដងពចនននស�ត4ប ស នង នស�ត4សែថមេទ�តផង។





2

3



4. ប f ន Variable េWX ះY 3.Which faculty are you studying?[Q3] ចលេ#ក�ង4បអប Row(s): >

5. ប f ន Variable េWX ះY 14.Why do you choose this Foreign Language?[Q14] ចលេ#ក�ង4បអប Column(s): >

6. ប f ន Variable េWX ះY 1.Your sex?[Q1] ចលេ#ក�ង4បអប Layer >

7. ចច OK Button

8. �ងេ4�មេនះ�លទ�ផលែដលទទលRន

55. ល$ត:

ចរេធ��របក4Kយទន�នយ េFក�ងឧ>ហរណចនចទ 4 ឲRនេក¤ះក¤យ។





េមេរ�នទ� 10: �រ��គទ�ន�នយ�មយ Explore

1. Explore:

Explore Analysis គ��រសកេ�េល�រវ�គទន�នយ េ�យេធ��រ�យតៃល�មធ�ម ចេ!ះ ទន�នយដច�

Descriptive ែដរ បែន)�*ន�ពលអត�ង េហយែដល/ចអនវត01ន�មយទន�នយែដល*ន3បេភទ�

Quantitative (Scale) ដច Descriptive ផងែដរ។

ឧ:ហរណៈសមេបកយក File SPSS មែដល*នេ>? ះ@ Sales.sav បCG បមកសមអនវត0ដចIងេ3�ម:



3. Explore >

4. បTU ន Variable មយេ>? ះ@ Revenue[revenue] ចលក�ង3បអប Dependent List: >

5. ចច OK Button

6. Iងេ3�មេនះ�លទ`ផលែដលទទល1ន

1

2

3

4

5



>

Mean = $2,516.58

*ននយ@ 31កចនល�មធ�មរបស3គkmរនមយៗ*នចនន $2,516.58។

> Std. Error = $25.783

*ននយ@តៃល Standard Error ៃន31កចនល�មធ�មរបស3គkmរនមយៗ*នចនន $25.783។

> 95% Confidence Interval for Mean

Lower Bound = $2,466.00

Upper Bound = $2,567.15

*ននយ@ចេC� ះ 95% ៃន31កចនល�មធ�មរបស3គkmរនមយៗ/ចែ3ប3បkលព $2,466.00 េ� $2,567.15។

> 5% Trimmed Mean = $2,509.56

*ននយ@ 31កចនល�មធ�មែដល�ត Outlier 5% េចញ*នចនន $2,509.56។ 5%Trimmed Mean 3ត�វ1ន

គណCេ�េពលែដលតៃលធបផតនងតៃលតចបផតរបសទន�នយ3ត�វ 1នជរះេ�លេហយបCG បមកេយងនង

ទទល1ននវលទផលមយែដល*ន�ពសម3សប។ ទន�នយែដលជរះេ�លេCះ3ត�វ1នកនត@� Outlier ។

> Median = $2,490.68

*ននយ@31កចនលរបស3គkmរែដលស�តេ�តៃលក�) ល*នចនន $2,490.68។

> Variance = 989201.2

*ននយ@ តៃល Variance ៃន31កចនលរបស3គkmរនមយៗ*នចនន $989201.2។

> Std. Deviation = $994.586

*ននយ@ តៃល Standard Deviation ៃន31កចនលរបស3គkmរនមយៗ*នចនន $994.586 ។

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> Minimum = $13

*ននយ@ 31កចនលរបស3គkmរែដល:បបផត *នចនន$13។

> Maximum = $6,213

*ននយ@ 31កចនលរបស3គkmរែដលខ�សបផត *នចនន$6,213។

> Range = $6,201

*ននយ@ គ�ត31កចនលរបស3គkmរ:ងអសព:បបផតេ�ខ�សបផត*នចនន $6,201។

> Interquartile Range = $1,353

*ននយ@ គ�ត31កចនលរបស3គkmរ:ងអសែដលគត�បពតៃល:ប 25% េ�តៃលខ�ស 75% *នចនន

$1,353។

22. ស�ក"�មយឧ$ហរណ:

ឧ:ហរណ: សមេបកយក File SPSS មយែដល*នេ>? ះ@ SV(Student Vision) ែដលក�ងេពលេនះេយងនងេធ��រ

វ�គេ�យចងដងព�រចCយរបសនស�តេ�េល�រសក�mបរេទស�មរយៈ Explore ។



3. Explore >

4. បTU ន Variable មយេ>? ះ@ 15.How much Dollars do you spend per month?[Q15] ចលក�ង3បអប Dependent

List: >

5. ចច OK Button


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ចេ!ះ��ងទន�នយIងេលេនះ 1នប�� ញនវពត*ន�េ3ចនចេ!ះ31កចCយរបសនស�តេ�េល�រសក

�mបរេទស។េយងនងេធ��របក3mយនវអត�នយរបសទន�នយIងេលេនះដចIងេ3�មៈ

- 31កច�យ�មធ�មេ�េល�រសក�mបរេទសរបសនស�ត*� កៗគ*នចនន $34.5326/ែខ។

- តៃល Standard Error ៃន31កចCយេ�េល�រសក�mបរេទស*នចនន $6.88993/ែខ។

- 31កច�យ�មធ�មក�ង1ែខរបសនស�តនមយៗែ3ប3បkលព $20.8466/ែខ េ� $48.2186/ែខ។

- 31កច�យ�មធ�ម ែដល�ត Outlier 5% េចញ គ*នចនន $24.4565/ែខ។

- 31កច�យែដលស�តេ�តៃលក�) លគ*នចនន $20.0000/ែខ។

- តៃល Variance ៃន31កចCយរបសនស�តេល�រសក�mបរេទសគ*ន $4367.351/ែខ។

- តៃល Standard Deviation ៃន31កចCយរបសនស�តនមយៗ *នចនន $66.08593/ែខ។

- 31កច�យរបសនស�តេ�េល�រសក�mបរេទសែដលតច�ងេគគ*ន $3.00/ែខ។

- 31កច�យរបសនស�តេ�េលសក�mបរេទសែដលេ3ចន�ងេគគ*ន $500.00/ែខ។

- គ�តរ�ង នស�តែដលច�យ31កេ�េល�រសក�mបរេទសព តចបផតេ�េ3ចនបផតគ*នរហតដល

$497.00/ែខ។

- គ�ត31កច�យេ�េល�រសក�mបរេទស ែដលគត�បពតៃល:ប 25% េ�តៃលខ�ស 75% *នចនន

$25.00/ែខ។

33. �រ��គេ'(ម CCategory:

វធm ស0េនះ3ត�វ1នេ3ប31សេដម¡េធ��របែបកទន�នយែដល1ន វ�គេ�យ Explore េ/យ*ន�ពលអត

�ងេនះេ�េទ¢ត។ ក�ងេCះផងែដរ �:ម:រនវ Variable មយែដល*ន3បេភទ Qualitative េដម¡េដរត�អ�ក

បែបក Variable 3បេភទ Quantitative ឲ*ន�ពលអតបែន�មេទ¢ត។

�ម�រសកេ�េលឧ:ហរណIងេលគេយងទទល1នលទ`ផល Revenue/Year របស3គkmរែដលរសេ�ក�ង

តបន:ងមល។បែន)េលកេនះវញគេយងនងវ�គេ�េលទន�នយដែដលេ�យឲ�ែបងែចកេ��មតបនេផ�ងៗ¥�

។



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3. Explore >

4. បTU ន Variable មយេ>? ះ@ Revenue[revenue] ចលក�ង3បអប Dependent List: >

5. បTU ន Variable មយេ>? ះ@ Territory[region] ចលក�ង3បអប Factor List: >

6. ចច OK Button


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44. សនរេ*ជសេរ,ស:

1. ចរឲនយមនយ Explore Analysis ?

�A. គ��រសកេ�េល�រវ�គទន�នយ េ�យេធ��រ�យតៃល�មធ�ម ចេ!ះ ទន�នយដច� Descriptive

េហយែដល/ចអនវត01ន�មយទន�នយែដល*ន3បេភទ� Qualitative (Nominal & Ordinal) ។

�B. គ��រសកេ�េល�រវ�គទន�នយ េ�យេធ��រ�យតៃល�មធ�ម ចេ!ះ ទន�នយដច� Descriptive ែដរ

បែន)�*ន�ពលអត�ង េហយែដល/ចអនវត01ន�មយទន�នយែដល*ន3បេភទ� Qualitative (Nominal &

Ordinal) ។

�C. គ��រសកេ�េល�រវ�គទន�នយ េ�យេធ��រ�យតៃល�មធ�ម ចេ!ះ ទន�នយដច� Descriptive ែដរ

បែន)�*ន�ពលអត�ង េហយែដល/ចអនវត01ន�មយទន�នយែដល*ន3បេភទ� Quantitative (Scale) ដច

Descriptive ផងែដរ។

2. េត 5% Trimmed Mean *ននយដចេម0ច ចរបក3mយ?

�A. �មធ�មែដល�ត Outlier 5% េចញ េហយ 5%Trimmed Mean 3ត�វ1នគណCេ�េពលែដលតៃលធបផតនង

តៃលតចបផតរបសទន�នយ3ត�វ 1នជរះេ�លេហយបCG បមកេយងនងទទល1ននវលទ`ផលមយែដល*ន�ព

សម3សប។ ទន�នយែដលជរះេ�លេCះ3ត�វ1នកនត@� Outlier ។

�B. � 95% Confidence Interval for Mean ែដល�ត Outlier 5% េចញ េហយទន�នយែដលជរះេ�លេCះ3ត�វ1ន

កនត@� Outlier ។

�C. �តៃលក�) លៃន Variance ែដល�ត Outlier 5% េចញ េហយទន�នយែដលជរះេ�លេCះ3ត�វ1នកនត@

� Outlier ។

3. េដម¡វ�គនងែបងែចក Explore េ��ម Category េតេគ3ត�វ3បេភទទន�នយអ�ខ�ះេដម¡ចលរម?

�A. �:ម:រនវ Variable មយែដល*ន3បេភទ Qualitative េដម¡េដរត�អ�កបែបក Variable 3បេភទ Quantitative

ឲ*ន�ពលអតបែន�មេទ¢ត។

�B. . �:ម:រនវ Variable មយែដល*ន3បេភទ Quantitative េដម¡េដរត�អ�កបែបក Variable 3បេភទ Qualitative

ឲ*ន�ពលអតបែន�មេទ¢ត។

�C. �:ម:រនវ Variable មយែដល*ន3បេភទ Quantitative េដម¡េដរត�អ�កបែបក Variable 3បេភទ Quantitative

ខ�នឯង ឲ*ន�ពលអតបែន�មេទ¢ត។



េមេរ�នទ� 11: �រ��គទ�ន�នយ�មយ Multiple Response

1. Multiple Response Frequencies:

Multiple Response Frequencies គ��រវគទន�នយ េ�យេធ��រ�បចននឬ�យតៃលេ�េល Variable មយ

ែដល�េកតេចញព�រផ) ប+, ល.� ៃន Variables ៃន/ក0ម Variables �េ/ចនេផ1ងេទ3ត។ មលេហតៃន�របេង6ត

Variable មយេចញព Variables �េ/ចន ពេ/7ះ Variables �េ/ចន9ងអសេ<ះ សទ=ែត�ចេលយែដល>ន

ទទលេ?ក�ង សនរៃន Variable ែតមយ។ ដេច�ះវធ@Aស)ក�ង�រវគទន�នយ�មយនង Variables �េ/ចន

ែដល>នេឆDយេ��នសនរែតមយេ<ះ គ/តEវេធ��រផ) �ប+, ល.� �មនសន មននងេធ��រវគ។

2. �ពខស#� រ$ង Single Response ន�ង Multiple Response:

Variable 9ងGយHែដលទទលចេលយែតមយគ�/បេភទ Single Response ែដលក�ងេពលវគគJចេ/ប

/>ស�រវគ�មយនង Frequencies >នេ�យKL លែតម)ង។

ឧ9ហរណ: េ?ក�ង File SPSS មយេUW ះX Statistics.sav ែដលវគេ�េល/បZនបទ ជវតេកWង\មចេ+, ម ថ�ល

។ ចេ7ះសនរ (Variable) `ងេ/�មគ�សនរែដលសរេ�េហយទទល>នចេលយមកវញ ែតមយ បេHf ះ ដច�:

Variable 9ងGយHែដលទទលចេលយេលសពមយគ�/បេភទ Multiple Response ែដលក�ងេពលវគគ

មនJចេ/ប/>ស�រវគ�មយនង Frequencies >នេ<ះេទ គ/តEវផ) �� Variable Set �មនសន េហយ

េធ��រវគ\ម Multiple Response Frequencies វញ។

ឧ9ហរណ: េ?ក�ង File SPSS មយេUW ះX Statistics.sav ែដលវគេ�េល/បZនបទ ជវតេកWង\មចេ+, ម ថ�ល

។ ចេ7ះសនរ (Variable) `ងេ/�មគ�សនរែដលសរេ�េហយទទល>នចេលយមកវញ េលសពមយ

ែដលhនដច�:



3. រេប�បបេង'�ត MMultiple Response Frequencies:

ឧ9ហរណ: េបកយក File SPSS មយេUW ះ Statistics.sav ែដលវគេ�េល/បZនបទជវតេកWង\មចេ+, ម ថ�ល ។

/តងចនចេយងនងេ/ប/>ស Multiple Response Frequencies េដមjចងដងពបនង/>X� េ�ៃថkអ<គត

របសេកWងៗ9ងេ<ះ។


2. Multiple Response >

3. Define Variable Sets >

4. សមប+� ន Variables ចននប ែដលhនេUW ះ Happiness[q15.1], Want to get the edu[q15.2], នង Good

Person[q15.3] ចលក�ង/បអប Variable Sets >

5. សមេ/ជសេរ សយក Dichotomies េហយក�ង/បអប Counted value សមកនតេលខ 1 >

6. ក�ង/បអប Name សម�កេUW ះឲ Variable Set >

7. /តង/បអប Label សម�កេUW ះ Label ឲ Variable Set >


9. ចច Close Button >

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12. Frequencies >

13. សមចចប+� ន Variable Set េUW ះ Q15 េ��កក�ង/បអប Table(s) for: >

14. ចច OK button >

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15. `ងេ/�មេនះ�លទ=ផលែដលទទល>ន

ឆDង�ត\ម�រអេង6តេ�េលេកWងអ<Xចនន 200 <កស)អពបនង/>X� េ�ៃថkអ<គត របសេកWងៗ9ងេ<ះ

>នប�� ញឲេឃញX:

hន 95.5% ពកេគចងទទល>ននវសភមង�លស�បជវត

hន 88.5% ពកេគចងទទល>ននវ�រសក អបរ

hន 95.5% ពកេគចង�D យ�មនស1ល¡

ដេច�ះសរបមក េកWងៗ9ងអសេ<ះ ពកេគចង�D យ�មនស1ល¡េ/ចន�ងេគ។

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44. ស�ក)េ*េល�ឧ,ហរណ:


/តងចនចេយងនងេ/ប/>ស Multiple Response Frequencies េដមjចងដងព/បភពែដលបង6ឲ េកWងៗ9ងេ<ះ

ភយ D ច។




4. សមប+� ន Variables ចននប ែដលhនេUW ះ Authority/Power man[q19.1], Ganger/Gangster[q19.2], នង

Friend[q19.3] ចលក�ង/បអប Variable Sets >






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12. Frequencies >



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ឆDង�ត\ម�រអេង6តេ�េលេកWងៗចនន 200 <កស)អព�រ/បភពែដលបង6ឲេកWងៗ9ងេ<ះ ភយ D ច >ន

ប�� ញឲដងX:

hន 46.5% ទទល>ន�រគ�មកែហងពអ�កhនអ<ច

hន 60.6% ទទល>ន�រគ�មកែហងពពកបងធ

hន 51.5% ទទល>ន�រគ�មកែហងពមត)ភក)

ដេច�ះសរបមក េកWងៗ9ងអសេ<ះ ទទល>ន�រគ�មកែហងពពកបងធ hនចននេលសេគ។

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55. ស�ក)េ*េល�ឧ,ហរណ:


/តងចនចេយងនងេ/ប/>ស Multiple Response Frequencies េដមjចងដងពទស1នៈរបសពកេកWងៗ

អ<X9ងេ<ះ េ�េលផល/បេ¥ជនៃន�រសក ។




4. សមប+� ន Variables ចនន 6 ែដលhនេUW ះ Cut the poor down[q24.1], Create the human[q24.2], Income for

family[q24.3], Develop the country[q24.4], Cut off the corruption[q.24.5], នង Good people[q25.6] ចលក�ង/បអប

Variable Sets >






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12. Frequencies >



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ឆDង�ត\ម�រអេង6តេ�េលេកWងអ<Xចនន 200 <កស)អពទស1នៈរបសពកេកWងៗ អ<X9ងេ<ះ

េ�េលផល/បេ¥ជនៃន�រសក >នប�� ញឲដងX:

hន 35.2% >នយលេឃញX�រសក Jចជយដល�រ�តបន§យព/ក/ក

hន 29.6% >នយលេឃញX�រសក Jចជយបេង6ននវធនZនមនស1

hន 48.2% >នយលេឃញX�រសក Jចជយរក/>កចនលក�ង/គ¨@រ

hន 42.2% >នយលេឃញX�រសក Jចជយអភវឌªន/បេទស

hន 38.7% >នយលេឃញX�រសក Jចជយ�តបន§យនវអេពពករលយ

hន 60.3% >នយលេឃញX�រសក Jចជយឲមនស1�D យខDន�ពលរដ«ល¡ក�ងសង�ម

ដេច�ះសរបមកកhរ9ងអសែដល>នយលេឃញX�រសក Jចជយឲមនស1�D យខDន�ពលរដ«ល¡ក�ង

សង�មគhនចននេ/ចនេលសេគ។

5. សនរេ6ជសេរ8ស:

1. /បសនេប Variable មយ�/បេភទ Multiple Response េត/តEវេធ��រវគ\មវធH?

�A. េធ��រវគ\ម Frequencies KL លែតម)ង

�B. ផ) �ប+, ល.� �មនសន េទបេធ��រវគ\ម Multiple Response Frequencies

�C. ផ) �ប+, ល.� �មនសន េទបេធ��រវគ\ម Multiple Response

2. េ?/តងសនរ What gender (ចេលយhនដច� �Male �Female) េតេនះ�/បេភទអ�?

�A. Single Response

�B. Multiple Response �C. Multiple Response Frequencies

3. េ?/តងសនរ Who has ever threatened you (ចេលយhនដច� �Authority/Power man�Ganger/

Gangster�Friend) េតេនះ�/បេភទអ�?







សនរន�ងល�ត��លង

Final Test

1. សនរេ�ជសេរ�ស:

1. ចរឲនយមនយកម�វធ SPSS?

�A. កម�វធស�បបេង�ត Table

�B. កម�វធស�ប�គប�គងទន�នយ

�C. កម�វធស�បវ�គទន�នយ

2. ចរេរ�ប�បព Variable Type េ"ក�ង Variable View?

�A. Numeric, Comma, Dot, Scientific notation, Date Time, Dollar, Custom currency, String

�B. Numeric, Comma, Dot, Scientific notation, Date, Dollar, Custom currency, String

�C. Numeric, Comma, Dot, Scientific notation, Date, Dollar, Currency, String

3. ចរប$% ញព�ពខស(� រ)ង Quantitative Data នង Qualitative Data?

�A. Quantitative Data មន*ចេធ+�ប-ណវធពជគណត4ន េ"ក�ង SPSS កនតយក Scale នង

Qualtitative Data *ចេធ+�ប-ណវធពជគណត4នេ"ក�ង SPSS កនតយក Ordinal នង Nominal

�B. Quantitative Data *ចេធ+�ប-ណវធពជគណត4ន េ"ក�ង SPSS កនតយក Scale នង

Qualtitative Data មន*ចេធ+�ប-ណវធពជគណត4នេ"ក�ង SPSS កនតយក Ordinal នង Nominal

�C. Quantitative Data *ចេធ+�ប-ណវធពជគណត4ន េ"ក�ង SPSS កនតយក Ordinal នង Nominal នង

Qualtitative Data មន*ចេធ+�ប-ណវធពជគណត4នេ"ក�ង SPSS កនតយក Scale

4. េដម7 Merge ទន�នយប89 ល(� េត�ត;វ-នលក<ណៈអ+ខ@ះ?

�A. Variables Fងអស�ត;វែតេធ+Hរ Rename េ�Hយេពលេធ+Hរ Merge រច�ល

�B. Variables Fងអស�ត;វែត-នទរងដច(� ក�ងករណខស(� �ត;វ Rename េ�Hយេពល Merge រច�ល

�C. Variables Fងអស�ត;វែត-នទរងដច(� ក�ងករណខស(� �ត;វ Rename )មននងេធ+Hរ Merge

5. ចរប$% ញពលក<ណៈខស(� រ)ង Add Cases Lមយនង Add Variables?

�A. ចេលយFងពរUងេ�HមគពតL�តម�ត;វ

�B. Add Cases េ�ប�4សេដម7Fញ Cases េចញព File ទ2 មកYកប89 ល(� េ"ក�ង File ទ1

�C. Add Variables េ�ប�4សេដម7FញVariables េចញព File ទ2 មកYកប89 ល(� េ"ក�ង File ទ1។



6. ចររក មត ៃនតៃល 1 ;1 ;2 ;2 ;2 ;3 ;3 ;3 ;3 ;4 ;5 ;5 ;5 ;5 ;5 ;6 ;7 ;7 ;7 ;7 ;7 ។

�A. មត = 3

�B. មត = 5

�C. មត = 7

7. ចររក Median ៃនតៃល 1 ;1 ;2 ;2 ;2 ;3 ;3 ;3 ;3 ;4 ;5 ;5 ;5 ;5 ;5 ;6 ;7 ;7 ;7 ;7 ;7 ។

�A. Median = 3

�B. Median = 5

�C. Median = 7

8. េត*ងែទHទល (Interquartile Range) -នបz� ន�បេភទ? អ+ខ@ះ?

�A. 3 �បេភទដចL Hទល, េដសល, នង ែពរសងទល

�B. Hទល, េដសល, នង ែពរសងទល

�C. ចេលយ A នង B គLចេលយ�តម�ត;វ

9. ចរឲនយមនយ Frequencies?

�A. Frequencies គវធ}~ស�ក�ងHរវ�គទន�នយ េYយេធ+Hរ�បចនន រ )យតៃល េ�េលទន�នយែដល-ន

�បេភទL Quantitative Data (Scale) ។

�B. Frequencies គវធ}~ស�ក�ងHរវ�គទន�នយ េYយេធ+Hរ�បចនន រ )យតៃល េ�េលទន�នយែដល-ន

�បេភទL Qualitative Data (Nominal & Ordinal) ។

�C. Frequencies គវធ}~ស�ក�ងHរវ�គទន�នយ េYយេធ+Hរ�បចនន រ )យតៃល េ�េលទន�នយែដល-ន

�បេភទL Quantitative Data (Nominal & Ordinal) ។

10. េតេ"�តង Central Tendency -ន Option អ+ខ@ះ?




11. េ"ក�ង Frequencies -ន Charts បz� ន�បេភទ? អ+ខ@ះ?

�A. -នប�បេភទដចL Bar Chart, Pie Chart, នង Histogram

�B. -នពរ�បេភទដចL Bar Chart, នង Pie Chart

�C. -នមយ�បេភទដចL Bar Chart



12. ចរឲនយមនយ Descriptive Analysis?

�A. Descriptive Analysis គLHរសក�េ�េលHរវ�គទន�នយេYយេធ+Hរ)យតៃលLមធ�មចេ�ះទន�នយ

ែដល-ន�បេភទL Quantitative (Scale) ។

�B. Descriptive Analysis គLHរសក�េ�េលHរវ�គទន�នយេYយេធ+Hរ)យតៃលLមធ�មចេ�ះទន�នយ

ែដល-ន�បេភទL Qualitative (Scale) ។

�C. Descriptive Analysis គLHរសក�េ�េលHរវ�គទន�នយេYយេធ+Hរ)យតៃលLមធ�មចេ�ះទន�នយ

ែដល-ន�បេភទL Qualitative (Nominal & Ordinal) ។

13. េតេ"�តង Central Tendency -ន Option អ+ខ@ះ?




14. េ"ក�ង Descriptives Options -នអ+ខ@ះ?

�A. Mean, Sum, Std. deviation, Variance, Range, Minimum, Maximum, S.E. mean

�B. Mean, Sum, Deviation, Variance, Range, Minimum, Maximum, S.E. mean

�C. Mean, Sum, Deviation, Variance, Range, Minimum, Maximum, S. mean

15. ចរឲនយមនយ Explore Analysis ?

�A. គLHរសក�េ�េលHរវ�គទន�នយ េYយេធ+Hរ)យតៃលLមធ�ម ចេ�ះ ទន�នយដចL Descriptive

េហយែដល*ចអនវត�4នLមយទន�នយែដល-ន�បេភទL Qualitative (Nominal & Ordinal) ។

�B. គLHរសក�េ�េលHរវ�គទន�នយ េYយេធ+Hរ)យតៃលLមធ�ម ចេ�ះ ទន�នយដចL Descriptive ែដរ

បែន�)-ន�ពលអតLង េហយែដល*ចអនវត�4នLមយទន�នយែដល-ន�បេភទL Qualitative (Nominal &

Ordinal) ។

�C. គLHរសក�េ�េលHរវ�គទន�នយ េYយេធ+Hរ)យតៃលLមធ�ម ចេ�ះ ទន�នយដចL Descriptive ែដរ

បែន�)-ន�ពលអតLង េហយែដល*ចអនវត�4នLមយទន�នយែដល-ន�បេភទL Quantitative (Scale) ដច

Descriptive ផងែដរ។

16. �បសនេប Variable មយL�បេភទ Multiple Response េត�ត;វេធ+Hរវ�គ�មវធ�?

�A. េធ+Hរវ�គ�ម Frequencies �� លែតម�ង

�B. ផ� )ប89 ល(� Lមនសន េទបេធ+Hរវ�គ�ម Multiple Response Frequencies

�C. ផ� )ប89 ល(� Lមនសន េទបេធ+Hរវ�គ�ម Multiple Response

17. េ"�តងសនរ What gender (ចេលយ-នដចL �Male �Female) េតេនះL�បេភទអ+?


�B. Multiple Response



�C. Multiple Response Frequencies

18. េ"�តងសនរ Who has ever threatened you (ចេលយ-នដចL �Authority/Power man�Ganger/

Gangster�Friend) េតេនះL�បេភទអ+?





APPENDIX:

រេប�ប Set Up កម��ធ� SPSS 16.0

េដម��ចេប�សកម�វធ SPSS 16.0 េ�ក�ង�សនកព�ទរ�ន #ដបងេយងត&វ Copy Software របស' េហយមក Paste ក�ង Hard disk របស�សនកព�ទរ#មនសន េហយប)* បមក ត&វេធ+,រ Set up 'ចលេ/ ក�ង�សនកព�ទរ េធ+ដចេនះេទបេយង�ចេប�សកម�វធេនះ�ន។ រេប4បក�ង,រ Set up �នប57 ញដច9ងេ,មៈ 1.សមេបក Folder េ;� ះ SPSS 16.0 >

2.ចច Double Click េល File េ;� ះ setup.exe >


2

1



4. សមេជសេរ សយក I accept the terms in the license agreement > 5. ចច Continue Button >



3

4

6

5




9. ចច Install Button >

10. ប)* បមកសមេធ+,ររងKរហត'េធ+,រ Set up ចប >

11. ចច OK Button េដម�បMQ ប,រ Set up

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8

9

10



11

Education

Spss khmer