For a given sample size, any attempt to reduce the likelihood of making one type of error (Type I or Type II) will increase the likelihood of the other error.

Question

Quizplus · Accepted Answer

This is known as the power trade-off or power-size trade-off. Increasing the sample size can decrease the likelihood of making a Type II error (false negative) but will increase the likelihood of making a Type I error (false positive). Similarly, decreasing the sample size can decrease the likelihood of making a Type I error but will increase the likelihood of making a Type II error.

For a Given Sample Size, Any Attempt to Reduce the Likelihood