Bst 322 bst quiz 2 - Study guides, Class notes & Summaries

BST 322 Quiz 3 Practice 2 Questions and Answers Chi square test for independence compares observed frequencies with: - Answer-Expected frequencies The test statistic calculated in the process of a Kruskall-Wallis test is H. - Answer-true This is used when the expected cell frequency in a 2X2 table is less than 5 - Answer-Fisher's exact test If the Chi-Square statistic is less than the table value, we accept the null hypothesis. - Answer-true Chi-square tests can only be conducte...

BST 322 Quiz 3 Practice 2 Questions and Answers Chi square test for independence compares observed frequencies with: - Answer- Expected frequencies The test statistic calculated in the process of a Kruskall-Wallis test is H. - Answer-true This is used when the expected cell frequency in a 2X2 table is less than 5 - Answer- Fisher's exact test If the Chi-Square statistic is less than the table value, we accept the null hypothesis. - Answer-true Chi-square tests can only be condu...

BST 322 Quiz 3 Practice 2 Questions and Answers Chi square test for independence compares observed frequencies with: - Answer- Expected frequencies The test statistic calculated in the process of a Kruskall-Wallis test is H. - Answer-true This is used when the expected cell frequency in a 2X2 table is less than 5 - Answer- Fisher's exact test If the Chi-Square statistic is less than the table value, we accept the null hypothesis. - Answer-true Chi-square tests can only be condu...

BST322 QUIZ 2 TEST LATEST UPDATE...

Exam (elaborations) NATIONAL UNIVERSITY BST 322 QUIZ 3 (BST322) • Question 1 1 out of 1 points Chi square test for independence compares observed frequencies with: Selected Answer: Expected frequencies Correct Answer: Expected frequencies • Question 2 The degrees of freedom for a 3X4 contingency table are: Selected Answer: 6 Correct Answer: 6 • Question 3 1 out of 1 points 1 out of 1 points The formula for Selected ...

 Question 9 1 out of 1 point The Central Limit Theorem states: The mean of a sampling distribution of means is equal to the population mean. Answers: The smaller the standard error of the mean, the closer it is to the population mean. The mean of a sampling distribution of means is equal to the population mean. The smaller the sample size, the closer the sample mean approximates the population mean. A sample with a larger standard of error of the mean still has a mean that approxi...