In: Statistics and Probability
Which of the following is false when conducting an analysis of variance?
Group of answer choices
The difference between three or more means will be examined
The Type I error rate is inflated automatically compared to the t test for independent samples even if you use the same alpha
Specific differences between pairs of means are not known when a significant result is found
Two estimates of the population variance are compared
Which of the following is false when conducting an analysis of variance?
Analysis of variance is for comparsion of means. For two means t-test or z-test can be used. But 3 or more than require ANOVA to compare means. ANOVA first tests whether there is difference between the means. If the result is significant then there is difference. But it does not find the pair of different mean. That is post hoc or LSD tests are used.
The difference between three or more means will be examined
purpose of test
The Type I error rate is inflated automatically compared to the t test for independent samples even if you use the same alpha
type 1 error is rejecting a true null hypothesis. this is to conclude that there is difference but in fact all means are same. Since there are many means there is a chance that conclusion will be of rejection. So the chance of errror of type 1 is increased.
Specific differences between pairs of means are not known when a significant result is found
this is true since then we need to post analysis test
Two estimates of the population variance are compared
This uses the F-test to compare variances.