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 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 the inference from such a situation? Indicate and provide examples of three of the factors that influence the size of t.