Identify factors that influence the significance level and power of a hypothesis test.

Which of the following statements is FALSE?

• a.)Expanding the sample size can decrease the power of a hypothesis test.
• b.)The probability of rejecting the null hypothesis in error is called a Type I Error.
• c.)A larger sample size would increase the power of a significance test.
• d.)The significance level is the probability of making a Type I error.