There are several assumptions for the use of an independent samples t test. State each of these and the implications should these assumptions be violated. Is it possible for a p value to equal 0? Why or why not?

· There are several indices on effect sizes for independent samples t tests. Describe three of these and when one might be used over the others. Next, given a situation in which a research reports a large eta squared effect size (eta squared = .64), why might their reported t value be small and not statistically significant? What may be inference from such a situation? Indicate and provide examples of three of the factors that influence the size of t.

We can handle this paper for you

We Guarantee ZERO Plagiarism ZERO AI

Done by Professional writers from scratch