QUESTION 6 1 points Save Answer Larger sample variances and larger sample sizes
ID: 3311150 • Letter: Q
Question
QUESTION 6 1 points Save 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 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 QUESTION 8 1 points Save Answer When performing inference on the difference of two proportions, the standard error in the test statistic is different than the standard error in the confidence interval. True FalseExplanation / Answer
ANswer-
1. In anova analysis, when we have larger sample variances then mean sum of squares error will rise proportionately more in comparison to mean sum of squares factor.
This means f statistic will fall and we will be less likely to reject the null hypoythesis.
Thus given statement is false.
2. Anova provides us way to determine whether atleast one mean is different from the others, but we must run t tests to check the pairs.
So statement is true.
3. Standard error used in determining confidence interval is same as used in hypothesis testing.
So statement is false.
Answers
TY!