Posttests are done after an ANOVA. What is the purpose of posttests? To estimate

Question

Posttests are done after an ANOVA. What is the purpose of posttests? To estimate the size of the effect To minimize the risk of a Type I error To determine exactly which treatment conditions are significantly different To check the accuracy of the ANOVA calculations Explain why you would not do posttests if the decision from the ANOVA was to fail to reject the null hypothesis. There are no significant differences to test for. Posttests are not able to detect honestly significant differences. You already know which treatments would be different. You would avoid posttests to minimize the risk of a Type II error. Explain why you would not do posttests if the analysis is comparing only two treatments. There are no significant differences to test for. You would avoid posttests to minimize the risk of a Type II error. You already know which treatments would be different. Posttests are not able to detect honestly significant differences. The following data summarize th

Explanation / Answer

Dear student,

According to Chegg guidelines, only the first question is answered with its subparts.

Posttests are basically done when the null hypothesis,H0: There is no significant difference between the treatments ., is rejected and the alternative hypothesis,H1:There is a significant difference between the treatments. , has to be accepted. To know in exactly which pair there is a significant difference.

And if the test is carried out for 2 treatments then there is no point carrying out the posttests since we already know that the signifiant difference would be among those 2 pairs only.

Therefore for question 1,the answer is option 3.

For question 2, the answer is option 1.

For question 3,the answer is option 3.

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