can you guys help me visualize the relationship between p-value and alternative hypothesis… the way i am imagining it is that a larger p-value implies that the null hypothesis can be ignored with larger type-1 error, so the smaller the p-value the smaller the probability of type-1 error which implies stronger evidence for alternative hypothesis cuz there is less error in rejecting the null. right or wrong…