The ANOVA procedure is able to handle balanced data only, but the GLM and MIXED procedures can deal with both balanced and unbalanced data. STATA has the .ttest, and the .ttesti commands for t-test, and the .anova, and .manova commands conduct ANOVA. So the degrees of freedom for t-test is 16-1=15, and for ANOVA is as 1 ( 2-1) for nominator and 15 (16- treatment DF). A t-test is often used because the samples are often small. ANOVA test for variation between the … The t-test is a method that determines whether two populations are statistically different from each other, whereas ANOVA determines whether three or more populations are statistically different from each other. The samples can be any size. Example: Comparing the variability of bolt diameters from two machines. A T-test, sometimes called the Student’s T-test, is conducted when you want to compare the means of two groups and see whether they are different from each other. $\endgroup$ – morphist Apr 17 '19 at 10:18

the Analysis of Variance, shortly known as ANOVA is … It is the basis of ANOVA. Anova vs T-test. However, there are some other issues you might consider: First, you are will be doing 7 t-tests, so multiple comparisons are a concern. We employ two-independent sample T-test to examine whether there exists a significant difference in the means of two categories i.e. the two samples have come from the same or different populations. $\begingroup$ A paired t-test (also called dependent t-test) is used for dependent samples, which you usually get from repeated measures or otherwise dependent samples. It is mainly used when a random assignment is given and there are only two, not more than two, sets to compare. ANOVA tests fro differences between means for 2 or more groups. ANOVA vs T-test. The t-test and one-way ANOVA do not matter whether data are balanced or not. Your situation would call for independent t-tests.

Difference Between One Way and Two Way ANOVA Last updated on September 23, 2017 by Surbhi S When it comes to research, in the field of business, economics, psychology, sociology, biology, etc. An F-test is used to compare 2 populations’ variances.

However, see Frans Rodenburg's answer why you probably want to first use an ANOVA. @Casey is correct that the Anova will provide identical results to the t-test in the case you have two categories. T-test tests for differences between means of two independent groups. Matched pair test is used to compare the means before and after something is done to the samples.