While you can create more than two groups for your indepedent variable condition
ID: 3202600 • Letter: W
Question
While you can create more than two groups for your indepedent variable conditions, you would change the type of test you could use. The two sample t-test is highly effective in comparing two independent means. If you were to use three groups, which test would best serve your purposes for comparing means? While you can create more than two groups for your indepedent variable conditions, you would change the type of test you could use. The two sample t-test is highly effective in comparing two independent means. If you were to use three groups, which test would best serve your purposes for comparing means?Explanation / Answer
Solution:-
(One way ANOVA)Analysis of variance (ANOVA) is used when testing for differences between three or more means. In an ANOVA, the F-ratio is used to compare the variance between the groups to the variance within the groups.
After finding a significant F-ratio, we do "post-hoc" (after the fact) tests on the factor to examine the differences between levels. There are a wide variety of post-hoc tests, but one of the most common is to do a series of special t-tests between all the combinations of levels for that factor. For the post-hoc "lsd" (least significant difference) t-tests, use the same critical alpha level that you used to test for the significance of the F-ratio.
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