QUESTION 4 1 points Save Answer A difference of two proportions test can always

Question

QUESTION 4 1 points Save Answer A difference of two proportions test can always be used as a substitute for a test for independence True False QUESTION 5 1 points Save Answer In a test for independence, large values of the chi-squared test statistic are evidence that the variables are independent. True False QUESTION 6 1 pointsSave Answer Larger sample variances and larger sample sizes in the individual samples will make it more likely that we will reject the null hypothesis in an ANOVA. True False QUESTION 7 1 points Save Answer An ANOVA test only allows you to conclude that at least two population means are significantly different. Multiple comparisons must be used to determine which specific pairs differ. True False

Explanation / Answer

Ans:

4)

True

Chi square test statistic for test of independence is square of z statistic for two proportion test.

5)False

Large values of chi square statistic means that we are more likely to reject null hypothesis(as p-value will be small),so it will indicate that there is association between two variables.

(H0:variables are independent,Ha:variables are associated.)

6)False

F statistic is ratio of MS(between) and MS(within).

7)True

If ANOVA results are significant,then we do Post hoc analysis to determine which pairs differs significantly.

Related Questions

Navigate

• Browse (All)
• Browse Q
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.