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Evaluating Introductory Statistics Knowledge: A Pre-Test/Post-Test Analysis

A pre-test/post-test evaluation designed to assess introductory knowledge in statistics, focusing on key concepts.

Andrew Taylor
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Evaluating Introductory Statistics Knowledge: A Pre-Test/Post-TestAnalysisAt theUniversity of Mytholopoloisthe head of the statistics department wants to findout whether or not 7 basic topics are being adequately learned in introductory statisticscourses.A test is written that has 7 questions, one question addressing each of the maintopics under consideration.These topics are:1-measurement scales2-measures of central tendency3-standard deviation4-normal curve and empirical rule5-t-tests6-ANOVA7-correlation and regressionThis brief test is going to be administered to all students registered in theintroductory statistics course at the beginning of the first session and the end of the lastsession.This is a pre-test/post-test design.But before this full scale data collection effortbegins the department is going to test this little instrument.Eight students are selected touse as a test group.The following is a table of the student scores in the pre-test conditionand the post-test condition.This final project is asking you to consider 4 different statistical tests.The first iswhat the department head is looking for, the second is an extension of that with a furtherbreakdown of information, the third is looking for a relationship between two differentvariables and the fourth is asking what test you would use to predict a students score.StudentSexPre-testPost-testHours perweekstudyingstatisticsMatildaF4615FranklinM2518LilyF4713

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Statistics

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