What type of test would you use if you wanted to look for a significant difference in test scores among three or more groups?
for comparing three means you can use Both ANOVA and t test. t test is mainly used to compare two group means. for comparing more than two group means ANOVA is used. ANOVA works for large sample, normal distribution, equal variances.
Can you use at test for 3 variables?
One of the more common statistical tests for three or more data sets is the Analysis of Variance, or ANOVA. If these assumptions are met, the ANOVA test can be used to analyze the variance of a single dependent variable across three or more samples or data sets.
Which is the best before and after test?
For before and after comparison for continuous variables (e.g. systolic blood pressure before and after treatment) then a paired t-test may be appropriate. If the data is not normally distributed then an alternative would be the Wilcoxon Sign Rank test. I think a paired t -test might be appropriate here.
Which is the best test for inferential t test?
If you have multiple dependent variables and measures of the same people over time, a repeated measures MANOVA in SPSS would be a good test. If you are thinking of the inferential t-test, you need to consider the assumptions/requirements such as random sampling, normality, equal variances, etc.
Which is test is appropriate for comparing pre and post?
Even the fact that your subjects are hungrier, happier, or more tired during one evaluation than the other could have more effect than the actual treatment. There is no statistical test that can over come these limitations (there are some alternate study designs that may help some).
What to consider when choosing a t test?
When choosing a t-test, you will need to consider two things: whether the groups being compared come from a single population or two different populations, and whether you want to test the difference in a specific direction. One-sample, two-sample, or paired t-test?