Significance tests are used for a variety of reasons and in many research scenarios. One of them is checking the equality of sample sizes.

There’s a book for psychologists whose authors recommend chi-squared test to check if two samples are of the same size. First sample size is 50 and the other one is 53. Then they use chi-squared test to find out

if 50 is statistically equal to 53. If it is, then a researcher can state equal sample sizes (f.e. for t-tests or ANOVA, etc).Q: Isn’t it a really bad way to use significance tests?

**Answer**

It does not look like good advice, but not knowing the authors’ intention what to say? But, more important, it is not needed. Anova or t-tests with unequal sample sizes is not a problem (it might be inefficient, so in the planning phase try to avoid it.)

See for instance Are unequal groups a problem for one-way ANOVA? and many similar posts you can find by searching this site!

**Attribution***Source : Link , Question Author : Lil’Lobster , Answer Author : kjetil b halvorsen*