Expert Tips on How to Avoid Type II Errors: A Guide to Research Success
In statistical hypothesis testing, a Type II error occurs when a researcher fails to reject a false null hypothesis. This means that the researcher concludes that there is no statistically significant difference between two groups when, in reality, there is a difference. There are a number of ways to avoid making a Type II error,…