More recent methods do frequently rely on p-values. Why do you think that might be?
What is the difference between a critical value and a test statistic?
How is a p-value related to the test statistic?
How does a researcher decide on an alpha significance level? Give an example of when a researcher might use a very small alpha for an experiment, perhaps 0.01. Give an example of when a large alpha might be more appropriate, perhaps 0.10.