What is a p-value and how is it used to make a decision about the null hypothesis?
How is the p-value related to the test statistic?
Explain whether or not rejecting the null hypothesis makes the alternative hypothesis true and why.
If I conduct a hypothesis testing with Type I error set at 0.05 and a resulting p-value of 0.3, what would my conclusion be?