Howtosignalprocessing
Yes, you can perform a t-test when the sample sizes are not equal. Equal sample sizes is not one of the assumptions made in a t-test. The real issues arise when the two samples do not have equal variances, which is one of the assumptions made in a t-test.
- Can you do a paired t-test with different sample sizes?
- How do you compare data with different sample sizes?
- What does tests are performed with unequal sample sizes mean?
- Can you do at test with unequal sample sizes Excel?
Can you do a paired t-test with different sample sizes?
By definition a paired t-test is performed on two random samples of the same size. If they are not of the same size then you just can't do it.
How do you compare data with different sample sizes?
One way to compare the two different size data sets is to divide the large set into an N number of equal size sets. The comparison can be based on absolute sum of of difference. THis will measure how many sets from the Nset are in close match with the single 4 sample set.
What does tests are performed with unequal sample sizes mean?
Unequal sample sizes can lead to: Unequal variances between samples, which affects the assumption of equal variances in tests like ANOVA. Having both unequal sample sizes and variances dramatically affects statistical power and Type I error rates (Rusticus & Lovato, 2014). A general loss of power.
Can you do at test with unequal sample sizes Excel?
Sample sizes between groups do not have to be equal. The test statistic is a student�s t-test with N‑2 degrees of freedom, where N is the total number of subjects.
