BUS 308 Week 5 Quiz\t\u00a0\t\u00a0\tQuestion 1. \ufffd Compared to the ANOVA test, Chi Square procedures are not powerful (able to detect small differences).\tQuestion 2. \u00a0\u00a0\u00a0\u00a0 In confidence intervals, the width of the interval depends only on the variation within the data set.\tQuestion 3. \u00a0\u00a0\u00a0\u00a0 The percent confidence interval is the range having the percent probability of containing the actual population parameter.\tQuestion 4. \u00a0\u00a0\u00a0\u00a0 The Chi Square test can be performed on categorical (nominal) level data.\tQuestion 5. \ufffd For a one sample confidence interval, the interval is calculated around the estimated population or standard.\tQuestion 6. \u00a0\u00a0\u00a0\u00a0 The chi square test is very sensitive to small differences in frequency distributions.\tQuestion 7. \u00a0\u00a0\u00a0\u00a0 The probability that the actual population mean will be outside of a 98% confidence interval is\tQuestion 8. \ufffd A confidence interval is generally created when statistical tests fail to reject the null hypothesis “\ufffd that is, when results are not statistically significant.\tQuestion 9. \u00a0\u00a0\u00a0\u00a0 A contingency table is a multiple row and multiple column table showing counts in each cell.\tQuestion 10. \u00a0\u00a0 For a one sample confidence interval, if the interval contains the population mean, the corresponding t-test will have a statistically significant result “\ufffd rejecting the null hypothesis.\tBUS 308 Week 5 Quiz Set 2\t\u00a0\tQuestion 1. \u00a0\u00a0\u00a0\u00a0 A contingency table is a multiple row and multiple column table showing counts in each cell.\tQuestion 2. \u00a0\u00a0\u00a0\u00a0 The Chi Square test for independence needs a known (rather than calculated) expected frequency distribution.\tQuestion 3. \u00a0\u00a0\u00a0\u00a0 For a two-sample confidence interval, the interval shows the difference between the means.\tQuestion 4. \u00a0\u00a0\u00a0\u00a0 Statistical significance in the Chi Square test means the population distribution (expected) is not the source of the sample (observed) data.\tQuestion 5. \u00a0\u00a0\u00a0\u00a0 The chi square test is very sensitive to small differences in frequency distributions.\tQuestion 6. \u00a0\u00a0\u00a0\u00a0 The chi square test measures differences in frequency counts rather than measures differences (such as done in the t and ANOVA tests).\tQuestion 7. \u00a0\u00a0\u00a0\u00a0 The Chi Square test can be performed on categorical (nominal) level data.\tQuestion 8. \ufffd The degrees of freedom for both forms of the Chi Square test are calculated the same way.\tQuestion 9. \u00a0\u00a0\u00a0\u00a0 In confidence intervals, the width of the interval depends only on the variation within the data set.\tQuestion 10.\u00a0\u00a0\u00a0 Compared to the ANOVA test, Chi Square procedures are not powerful (able to detect small differences).\t\u00a0\tBUS 308 Week 5 Quiz Set 3\t\u00a0\t\u00a0\tQuestion 1. \u00a0\u00a0\u00a0\u00a0 For a one sample confidence interval, if the interval contains the population mean, the corresponding t-test will have a statistically significant result “\ufffd rejecting the null hypothesis.\tQuestion 2. \u00a0\u00a0\u00a0\u00a0 While rejecting the null hypothesis for the goodness of fit test indicates that distributions differ, rejecting the null for the test of independence means the variables interact.\tQuestion 3. \u00a0\u00a0\u00a0\u00a0 A contingency table is a multiple row and multiple column table showing counts in each cell.\tQuestion 4. \u00a0\u00a0\u00a0\u00a0 For a one sample confidence interval, the interval is calculated around the calculated sample mean.\tQuestion 5. \u00a0\u00a0\u00a0\u00a0 Having expected frequencies of 5 or less in a Chi Square test can increase the likelihood of a type I error “\ufffd wrongly rejecting the null hypothesis.\tQuestion 6. \u00a0\u00a0\u00a0\u00a0 The degrees of freedom for the goodness of fit test equals\tQuestion 7. \ufffd For a one sample confidence interval, the interval is calculated around the estimated population or standard.\tQuestion 8. \u00a0\u00a0\u00a0\u00a0 The null hypothesis for the test of independence states that no correlation exists between the variables.\tQuestion 9. \u00a0\u00a0\u00a0\u00a0 The chi square test is very sensitive to small differences in frequency distributions.\tQuestion 10. \u00a0\u00a0 The chi square test measures differences in frequency counts rather than measures differences (such as done in the t and ANOVA tests).<\/p>\n","protected":false},"excerpt":{"rendered":"
BUS 308 Week 5 Quiz \u00a0 \u00a0 Question 1. \ufffd Compared to the ANOVA test, Chi Square procedures are not powerful (able to detect small differences). Question 2. \u00a0\u00a0\u00a0\u00a0 In confidence intervals, the width of the interval depends only on 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-204484","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/posts\/204484","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=204484"}],"version-history":[{"count":0,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/posts\/204484\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/media?parent=204484"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/categories?post=204484"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/tags?post=204484"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}