Statistical hypothesis testing is a procedure that verifies a given hypothesis through statistical analysis, using collected data. Hypothesis testing employs the p-value to draw conclusions about the underlying population via sampled data. The p-value, a calculated probability from sampled data, is an important tool in determining whether to reject the null hypothesis. However, most users seem to have difficulties understanding the logic behind it (e.g., [1]). Hence, this paper aims to help users understand and use the p-value adequately by elaborating on its logical meaning.