a smaller probability of type II error implies higher power of the test. true or false
Power of the hypothesis test = 1 - Probability of type II error
Hence lower the probability of type II error, higher is the power of the test.
given statement is TRUE
a smaller probability of type II error implies higher power of the test. true or false
True or False? The probability of a Type I error (a) and Type (II) error (B) are complementary and total to 1. a. True b. False
a. Explain a Type II error and power in context of choosing a smaller level of significance. b. Explain a Type II error and power in context of a greater difference between the null hypothesis claim and the true value of the population parameter.
Which of the following statements is FALSE? a.) The power of a hypothesis test is the probability of not making a Type II error. b.) Alpha (α) is equal to the probability of making a Type I error. c.) The probability of rejecting the null hypothesis when the null hypothesis is true is called a Type I Error. d.) A smaller sample size would increase the effectiveness of a hypothesis test.
State whether the following statements true or false, and Why? 1. The type I error and type II error are related. A decrease in the probability of one generally results in an increase in the probability of the other. 2. The size of the critical region, and therefore the probability of committing a type I error, can always be reduced by adjusting the critical value(s). 3. An increase in the sample size n will reduce α and β simultaneously. 4....
QUESTION 8 Problem 2) True False (3) Type II Error is the probability that you reject the null hypothesis when it was true. True False
14. Which of the following statements is correct? a. The probability of Type II error is higher when a is .01 rather than .05. b. The probability of Type I error is higher when a is .01 rather than .05. c. The probability of Type I and Type II error is not dependent on the a level. d. When you test a null hypothesis at a = .05, there is a 1 out of 20 chance of committing a Type...
As the Type II error, β,of a statistical test increases, the power of the test _____________. increases decreases stays the same randomly fluctuates
6. Which of the following statements about hypothesis testing are true? • A type I error occurs if H, is rejected when it is true. • A type II error occurs if He is rejected when it is true. • The power of a test is the probability of failing to reject H, when it is false.
Alpha refers to __________. A Statistical power B The probability of making a Type II error C The probability of making a Type I error D Effect size
6. Which of the following statements about hypothesis testing are true? • A type I error occurs if His rejected when it is true. • A type II error occurs if H, is reject ed when it is true, • The power of a test is the probability of failing to reject H, when it is false,