Increasing the size of the samples in a study to estimate the difference between two population means will increase the probability of committing a Type I error that a decision maker can have regarding the interval estimate.

Question

Quizplus · Accepted Answer

Increasing the sample size actually decreases the probability of committing a Type I error (rejecting a true null hypothesis). As the sample size grows larger, the estimate becomes more precise and the margin of error decreases, leading to a narrower interval estimate and a more accurate conclusion.

Increasing the Size of the Samples in a Study to Estimate