Question

# True or False: For all hypothesis tests, a small p-value means we will reject the null....

True or False: For all hypothesis tests, a small p-value means we will reject the null.

True or False: If you are testing the means of two groups, then you would use ANOVA.

True or False: A two-sample confidence interval must capture zero to show the groups are different.

True or False: The test statistic for ANOVA is the f-statistic.

True or False: For Chi-Square tests, if the observed counts and expected counts are extremely different, then we would have a large p-value.

Please don't hesitate to give a "thumbs up" for the answer in case the answer has helped you

1. False - The p-value should be smaller than alpha to reject the null , if p-value is small but more than alpha then we fail to reject the null

2. False - You could also use t-test for means comparison

3. False - If zero exists within the confidence interval then the groups are NOT different

4. True - ANOVA has the F-test, which has the F-statistic

5. False - It is actually the opposite, if the observed and expected counts are extremel different, then the p-value will be small.