Arguments and criticisms against the p-value are numerous, yet the use of the p-value in statistical inference has not slowed appreciably. Ideally, a statistical testing problem would be summarized through a measure of evidence and/or a measure of belief. A p-value does not always provide such an interpretation. However, there are many ways in which a p-value does provide an insightful measure. In this talk, we look at some competing statistical philosophies to arrive at different motivations for the use of a p-value.