What exactly is the difference between the Region of Rejection and P-value, when doing Hypothesis Testing?
Read this online:
To find a rejection region, work backwards from the level of significance (α) to a value of the test statistic (call it $z^*$). Values of the test statistic that are farther from the hypothesized value of $\mu_x$ (i.e., values of $z$ where $z^*$ is between $\mu_x$ and $z$) will lead to rejection of the null hypothesis.
That sounds alot like what a p-value is? Maybe I am confused about what exactly a p-value is.