On The Misuses Of Significance Tests
On The Misuses Of Significance Tests The most common misinterpretation is that the P value is the probability that the null hypothesis is true, so that a significant result means that the null hypothesis is very unlikely to be true. … Because the type II error rate is 50% (second assumption) we reject the null