Isn't p-value the probability of seeing the observed results, given that the null hypothesis is true and when this p-value is low , or pvalue <= significance level, that is when we reject the null hypothesis.
p-value isn't simply the probability of the null hypothesis to be true.
yes, I think what you mentioned is the more statistically correct way of defining p-value.
However, I also think that the correct definition is confusing for beginners. So going with a simpler but not statistically correct definition is not a bad idea.
Isn't p-value the probability of seeing the observed results, given that the null hypothesis is true and when this p-value is low , or pvalue <= significance level, that is when we reject the null hypothesis.
p-value isn't simply the probability of the null hypothesis to be true.
Please correct me if I am wrong.
yes, I think what you mentioned is the more statistically correct way of defining p-value.
However, I also think that the correct definition is confusing for beginners. So going with a simpler but not statistically correct definition is not a bad idea.
There ought to be a simple yet statistically sound illustration for p-value