The p-value in hypothesis testing represents:
1
The probability of committing a Type I error
2
The probability of rejecting the null hypothesis when it is true
3
The probability of accepting the null hypothesis when it is true
4
The probability of obtaining the observed sample data or more extreme results, assuming the null hypothesis is true