The Brookbush Institute continues to enhance education with new courses, a modern glossary, an AI Tutor, and a client program ge ...

The Brookbush Institute continues to enhance education with new courses, a modern glossary, an AI Tutor, and a client pr ...

Beta risk represents the probability that a false hypothesis in a statistical test is accepted as true. Beta risk contrasts with alpha risk, which measures the probability that a null hypothesis ...

It may be common knowledge that p < .05 indicates statistical significance. Psychology students (and others) are often taught that p < .05 means the probability (p) of rejecting the null ...

If we test a null hypothesis that is in fact true, using the 0.05 significance level, there is a 0.95 probability of coming to the correct conclusion in accepting the null hypothesis. If we test two ...

The Fisher’s exact test is performed by calculating the probability of the data that is observed if the null hypothesis (no association) is true, by using all possible 2 x 2 tables that hypothetically ...

The null hypothesis for the test assumes equality across the means, with the alternative hypothesis typically assuming unequal means.

However, the interpretation and use of p-values is often misconstrued. What is a p-value? A p-value is the probability of observing a test statistic as extreme as the data shows, given that the null ...

It is important to note that the (numeric) significance level of the data does not tell us precisely how likely it is that the null hypothesis is true. That probability depends on our prior beliefs, ...