{"id":204483,"date":"2018-09-14T04:41:50","date_gmt":"2018-09-14T04:41:50","guid":{"rendered":"http:\/\/localhost\/wordpress\/index.php\/2018\/09\/14\/bus-308-week-3-problem-set-anova\/"},"modified":"2018-10-24T08:55:42","modified_gmt":"2018-10-24T08:55:42","slug":"bus-308-week-3-problem-set-anova","status":"publish","type":"post","link":"https:\/\/www.benedictsol.com\/blogs\/bus-308-week-3-problem-set-anova\/","title":{"rendered":"BUS 308 Week 3 Problem Set (Anova)"},"content":{"rendered":"<p>During this week, we will look at ways of testing multiple (more than two) data samples at the same time.\t\u00a0\tWe will continue to use the data and assignment file that we opened in Week 2, we just move on to the Week 3 tab.\t\u00a0\tThe first question asks us to determine if the average compa-ratio is equal across 10K salary groups (20 &#8220;\ufffd 29K. 30 &#8220;\ufffd 39K, etc.).\u00a0 The second question asks us to identify which of the salary groups have different averages.\u00a0 The final question asks us to interpret the new information presented in the lecture and assignment; how does the new information we analyzed help us answer our equal pay for equal work question.\t\u00a0\tThe data and assignment file can be found in the Course Materials link, at the bottom in the Multi-Media section.\u00a0 If you save the files from last week, you do not need to open them again.\t\u00a0\tWeek 3 \ufffd \ufffd\u00a0 ANOVA \ufffd\u00a0\u00a0\u00a0 Three Questions \ufffd\u00a0\u00a0\u00a0\u00a0\tRemember to show how you got your results in the appropriate cells.\u00a0 For questions using functions, show the input range when asked.\t\u00a0\t1 One interesting question is are the average compa-ratios equal across salary ranges of 10K each. While compa-ratios remove the impact of grade on salaries, are they different for different pay levels, that is are people at different levels paid differently relative to the midpoint? (Put data values at right.)\t\u00a0\tWhat is the data input ranged used for this question:\t\u00a0\tStep 1:\t\u00a0\tHo:\t\u00a0\tHa:\t\u00a0\tStep 2: Decision Rule:\t\u00a0\tStep 3: Statistical test:\t\u00a0\tWhy?\t\u00a0\tStep 4: Conduct the test &#8211; place cell b16 in the output location box.\t\u00a0\tStep 5: Conclusions and Interpretation\t\u00a0\tWhat is the p-value?\t\u00a0\tIs P-value < 0.05?\t\u00a0\tWhat is your decision: REJ or NOT reject the null?\t\u00a0\tIf the null hypothesis was rejected, what is the effect size value (eta squared)?\t\u00a0\tIf calculated, what does the effect size value tell us about why the null hypothesis was rejected?\t\u00a0\tWhat does that decision mean in terms of our equal pay question?\t\u00a0\t2 \ufffd\u00a0\u00a0\u00a0\u00a0 If the null hypothesis in question 1 was rejected, which pairs of means differ? \ufffd\u00a0\u00a0  \ufffd \ufffd Why?\u00a0\u00a0  \ufffd \ufffd\u00a0 \u00a0\t \ufffd \ufffd\u00a0  \ufffd \ufffd\u00a0  \ufffd \ufffd\u00a0  \ufffd \ufffd\u00a0  \ufffd \ufffd\u00a0  \ufffd \ufffd\u00a0  \ufffd \ufffd\u00a0  \ufffd \ufffd\u00a0  \ufffd \ufffd\u00a0  \ufffd \ufffd\u00a0  \ufffd \ufffd\u00a0 \u00a0\t \ufffd \ufffd\u00a0 Groups Compared \ufffd\u00a0 Diff\u00a0\u00a0\u00a0\u00a0 T \ufffd\u00a0\u00a0\u00a0\u00a0 +\/- Term \ufffd\u00a0\u00a0\u00a0\u00a0  \ufffd \ufffd Low\u00a0\u00a0\u00a0\u00a0 to  \ufffd\u00a0\u00a0 High\u00a0\u00a0\u00a0 Difference Significant?\u00a0\u00a0\u00a0\u00a0 Why?\u00a0\u00a0\tG1\u00a0 G2\tG1 G3\tG1 G4\tG1 G5\tG1 G6\t\u00a0\tG2 G3\tG2 G4\tG2 G5\tG2 G6\t\u00a0\tG3 G4\tG3 G5\tG3 G6\t\u00a0\tG4 G5\tG4 G6\t\u00a0\tG5 G6\t\u00a0\t3 Since compa is already a measure of pay for equal work, do these results impact your conclusion on equal pay for equal work? Why or why not?\n<\/p>\n","protected":false},"excerpt":{"rendered":"<p>During this week, we will look at ways of testing multiple (more than two) data samples at the same time. \u00a0 We will continue to use the data and assignment file that we opened in Week 2, we just move <a href=\"https:\/\/www.benedictsol.com\/blogs\/bus-308-week-3-problem-set-anova\/\" class=\"read-more\">Read More &#8230;<\/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-204483","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/posts\/204483","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=204483"}],"version-history":[{"count":0,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/posts\/204483\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/media?parent=204483"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/categories?post=204483"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/tags?post=204483"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}