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/ 1:04 3:51 (/duke) Teaching Statistical Thinking: Part 1 Descriptive Statistics We prepare high school teachers for teaching descriptive statistics. Teachers will learn basic principles for summarizing data in meaningful ways. Satellite videos will discuss pedagogy and teach statistical software via examples spanning pop culture, sports, health and other topics suitable for high school classrooms. Sessions Future Sessions Add to Watchlist Course at a Glance 58 hours/week English Instructors About the Course While the primary aim of this course is to prepare high school teachers for teaching descriptive statistics, this course will enable any global citizen to understand the basic descriptive statistics presented by the media from breakfast to bedtime. Descriptive statistics, as the name implies, refers to the describing or summarizing of a set of data using graphics and number summaries. This course covers descriptive statistics for a single variable and for the relationship between two variables. Core principle videos will cover the statistical content, while satellite videos will discuss pedagogy, teaching resources, and analyzing data using JMP software. These satellite videos will present concepts via examples spanning pop culture, sports, youth, and other topics suitable for high school classrooms.

Teaching Statistical Thinking_ Part 1 Descriptive Statistics - Duke University _ Coursera

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  • 4/19/2015 TeachingStatisticalThinking:Part1DescriptiveStatisticsDukeUniversity|Coursera

    https://www.coursera.org/course/teachstats1 1/6

    /

    1:04 3:51

    (/duke)

    Teaching StatisticalThinking: Part 1 DescriptiveStatisticsWepreparehighschoolteachersforteachingdescriptivestatistics.Teacherswilllearnbasicprinciplesforsummarizingdatainmeaningfulways.Satellitevideoswilldiscusspedagogyandteachstatisticalsoftwareviaexamplesspanningpopculture,sports,healthandothertopicssuitableforhighschoolclassrooms.

    SessionsFutureSessions

    Add to Watchlist

    Course at a Glance 58hours/week English

    Instructors

    About the CourseWhiletheprimaryaimofthiscourseistopreparehighschoolteachersforteachingdescriptivestatistics,thiscoursewillenableanyglobalcitizentounderstandthebasicdescriptivestatisticspresentedbythemediafrombreakfasttobedtime.Descriptivestatistics,asthenameimplies,referstothedescribingorsummarizingofasetofdatausinggraphicsandnumbersummaries.Thiscoursecoversdescriptivestatisticsforasinglevariableandfortherelationshipbetweentwovariables.Coreprinciplevideoswillcoverthestatisticalcontent,whilesatellitevideoswilldiscusspedagogy,teachingresources,andanalyzingdatausingJMPsoftware.Thesesatellitevideoswillpresentconceptsviaexamplesspanningpopculture,sports,youth,andothertopicssuitableforhighschoolclassrooms.

  • 4/19/2015 TeachingStatisticalThinking:Part1DescriptiveStatisticsDukeUniversity|Coursera

    https://www.coursera.org/course/teachstats1 2/6

    (/instructor/dalenestangl)Dr.DaleneStangl(/instructor/dalenestangl)DukeUniversity(/duke)

    (/instructor/kateallman)Dr.KateAllman(/instructor/kateallman)DukeUniversity(/duke)

    (/instructor/minecetinkayarundel)Dr.MineetinkayaRundel(/instructor/minecetinkayarundel)DukeUniversity(/duke)

    CategoriesEducation(/courses?categories=education)StatisticsandDataAnalysis(/courses?categories=stats)TeacherProfessionalDevelopment(/courses?categories=teacherpd)

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    Course SyllabusThisclassistaughtinthreeunitsover5weeks

    1. Gettingstartedwithdata(1week)2. Singlevariablegraphicsandnumbersummaries(1week)3. Graphicsandnumbersummariesdescribingtherelationshipbetweentwo

    variables(2weeks)4. Review(1week)

    Thefulllistoftopicsareasfollows:

    Unit1,GettingStartedwithData01_01Introduction01_02Data,Variables,UnitofObservation/Analysis

    Unit2,SingleVariableDescription02_01Graphics:Histogram,Boxplot02_02NumberSummaries:Center02_03NumberSummaries:Spread02_04TransformationandStandardization02_05BellshapedCurves

    Unit3,DescribingRelationshipsBetweenTwoVariables03_01TwoCategoricalVariables:MosaicPlots03_02TwoCategoricalVariables:ContingencyTables03_03OneCategorical,OneNumericVariable:SidebySideBoxplots03_04TwoCategoricalVariables:Correlation03_05TwoNumericVariables:Regression03_06:03_09Reviewofentirecourse

    Suggested ReadingsNooutsidereadingsarerequiredforthiscourse.

  • 4/19/2015 TeachingStatisticalThinking:Part1DescriptiveStatisticsDukeUniversity|Coursera

    https://www.coursera.org/course/teachstats1 3/6

    Course FormatAlllecturevideosarereleasedonday1andareavailablethroughout.Youmayviewthemasslowlyorquicklyasyourscheduleallows.Practicequestionsareincludedattheendofmostvideos.Thisareoptionalandforyourlearningonly.Theywillnotbepartofthegrade.DatawillaccompanyeachoftheJMPsoftwarevideos,soweencourageyoutodownloadtheJMPsoftwareandreplicatetheanalysespresentedinthevideo.NotetherearefiveJMPsoftwarevideoscoveringeachtopic.Youneednotwatchallfive.Pickandchoosetopicsthatinterestyouandarefunforyou!

    Alsonotethattheweeksofthecoursedonotcorrespondtothecourseunits.Thethirdmodulelaststwoweeks,andthereisareviewweek.

    FAQWillIgetacertificateaftercompletingthisclass?

    Yes.StudentswhosuccessfullycompletetheclasswillreceiveaStatementofAccomplishmentsignedbytheinstructors.

    Whataretheprerequisitemathskillsforthecourse?

    Basicalgebraskillsareassumedinthiscourse.Youmustbeabletoadd,subtract,multiply,divide,usefractions,convertfractionstopercentages,useexponents(squareandsquareroots),graphpointsintwodimensions,andsolveoneequationwithoneunknown.Itisalsohelpfultoknowsummationnotationhowever,thismaybepickedupasthecourseprogresses.

    Whatresourcesareneededforthecourse?Youwillneedtowatchvideos,soadevicethatcanplayanmp4videoisrequired.Forthoseplanningtoteachthismaterialintheirownclasses,acomputerwillalsoberequired.TheJMPstatisticalsoftwareisanintegralpartofthecourse,and

  • 4/19/2015 TeachingStatisticalThinking:Part1DescriptiveStatisticsDukeUniversity|Coursera

    https://www.coursera.org/course/teachstats1 4/6

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  • 4/19/2015 TeachingStatisticalThinking:Part1DescriptiveStatisticsDukeUniversity|Coursera

    https://www.coursera.org/course/teachstats1 6/6

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