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IUB CJUS-K 300 - Hypothesis Testing with 2 Population Means

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CJUS-K300 1nd Edition Lecture 16 Outline of Last Lecture I. Hypothesis Tests: Percents Outline of Current Lecture II. Hypothesis Testing with 2 Population MeansCurrent LectureExample: Does peer approval or disapproval of stealing from employers effect how often individuals steal?Group #1: Peers do not approve of stealing from employers-n1=40-x1=¿ 5.1-s1=1.8Group #2: Peers approve of stealing from employers-n2=25-x2=8.2-s2=1.9tobt=x1−x2√s12n1+s22n2 For these we always use the t distribution no matter what the sample sizes areChoose an alpha of .01H0: u1=u2 Hi: u1≠ u2 These notes represent a detailed interpretation of the professor’s lecture. GradeBuddy is best used as a supplement to your own notes, not as a substitute.tobt=5.1−8.2√1.8❑240+1.9❑225 = -6.6df = n1+n2 – 2df = 40 + 25 – 2 = 63Tcrit ≈ 2.3so we reject the nullWe are 99% confident that the population of peers who do not approve steal less often than thepopulation of those who


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IUB CJUS-K 300 - Hypothesis Testing with 2 Population Means

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