A few TF questions that I am having a hard time with Please

A few T/F questions that I am having a hard time with! Please help!

1: The distribution of F-ratios is positively skewed

2: Analysis of variance allows researchers to compare several different treatment conditions without conducting several different hypothesis tests

3: The basic \'analysis\' in ANOVA involves partitioning the total variability into two components: between-treatments variability and within-treatments variability.

4: When there are more than two treatments in an ANOVA, some of the treatment means may not be significantly different from each other even if the null hypothesis is rejected.

5: Analysis of variance is used to determine whether there are any significant differences among the means for the treatments being compared.

6: If the null hypothesis is true, the F-ratio for ANOVA is expected (on average) to have a value of 1.00

7: In an analysis of variance, the larger the differences between the sample means are, the larger the F-ratio will be

8: In an analysis of variance, the larger the sample variances are, the larger F-ratio will be

9: The critical region for the F-ratio from an analysis of variances is located entirely in one tail of the distribution

10: Post tests are not needed if the decision from an analysis of variance is to fail to reject the null hypothesis

11: Post-test are used to determine which treatment means are significantly different.

Thanks in advance for your help!!!

Solution

1. TRUE.

2. TRUE.

3. TRUE.

4. TRUE. At least 2 of the means are different, but it\'s not necessary that all are different.

5. TRUE.

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