Part One “\ufffd Multiple Testing\tRead\u00a0Lecture Seven. The lectures from last week and Lecture Seven discuss issues around using a single test versus multiple uses of the same tests to answer questions about mean equality between groups. This suggests that we need to master”\ufffdor at least understand”\ufffda number of statistical tests. Why can’t we just master a single statistical test”\ufffdsuch as the t-test”\ufffdand use it in situations calling for mean equality decisions? (This should be started on Day 1.)\u00a0\t\u00a0\t\u00a0\tPart Two “\ufffd ANOVA\tRead\u00a0Lecture Eight. Lecture Eight provides an ANOVA test showing that the mean salary for each job grade significantly differed. It then shows a technique to allow us to determine which pair or pairs of means actually differ. What other factors would you be interested in knowing if means differed by grade level? Why? Can you provide an ANOVA table showing these results? (Do not bother with which means differ.) How does this help answer our research question of equal pay for equal work? What kinds of results in your personal or professional lives could use the ANOVA test? Why? (This should be started on Day 3.)\t\u00a0\t\u00a0\tPart Three “\ufffd Effect Size\tRead\u00a0Lecture Nine. Lecture Nine introduces you to Effect size measure.\u00a0 There are two reasons we reject a null hypothesis.\u00a0 One is that the interaction of the variables causes significant differences to occur “\ufffd our typical understanding of a rejected null hypothesis.\u00a0 The other is having a large sample size “\ufffd virtually any difference can be made to appear significant if the sample is large enough.\u00a0 What is the Effect size measure?\u00a0 How does it help us decide what caused us reject the null hypothesis?<\/p>\n","protected":false},"excerpt":{"rendered":"
Part One “\ufffd Multiple Testing Read\u00a0Lecture Seven. The lectures from last week and Lecture Seven discuss issues around using a single test versus multiple uses of the same tests to answer questions about mean equality between groups. This suggests that Read More …<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-204467","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/posts\/204467","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/comments?post=204467"}],"version-history":[{"count":0,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/posts\/204467\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/media?parent=204467"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/categories?post=204467"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/tags?post=204467"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}