EARNING OBJECTIVE: Identify factors that influence the significance level and power of a hypothesis tes KI OOD Which of the following statements is FALSE? a.) Alpha (a) is equal to the probability of making a Type I error. b.) The probability of rejecting the null hypothesis when the null hypothesis is true is called a Type O Error. c.) A smaller sample size would increase the effectiveness of a hypothesis test. ( d.) The power of a hypothesis test is the probability of not making a Type II error. SUBMIT MY