Basically, I am having a hard time understanding the difference between the p-value, the significance level and the size of a test.

In doing questions about hypothesis testing, I am somehow able to get the right answers when asked to derive these quantities. But at the end of the day, it seems to me that all three of them represent the probability of rejecting the null hypothesis?

Any enlightenment would be much appreciated.

In doing questions about hypothesis testing, I am somehow able to get the right answers when asked to derive these quantities. But at the end of the day, it seems to me that all three of them represent the probability of rejecting the null hypothesis?

Any enlightenment would be much appreciated.