Power and statistics
One common question 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. If you have interval...