One of the common questions is - which test is best for an experiment? Well, this depends on many different factors. One of the key ideas of statistics is that tests have different "power" - that is, the probability of making a correct decision (to reject the null hypothesis) when the null hypothesis is false. Power is the probability that a test of significance will pick up on an effect that is present.