Rejecting H0 when H0 is true is known as Type I error and accepting H0 when H1 is true is known as type II error.
We are not committing any of the above errors mentioned. Hence in both the problems we have made the correct decision.
Question 8 (1 point) A test is made of Ho: mean = 119 versus Hy: mean...
Question 6 (1 point) A test is made of Ho: mean = 27 versus Hi: mean < 27. The true value of the mean is 27, and Ho is rejected. Is this a Type I error, Type II error, or a correct decision? Type I error Type II error Correct decision O Question 7 (1 point) A test is made of Ho: mean = 71 versus Hii mean < 71. The true value of the mean is 35, and Ho...
Question 12 (4.2 points) A test is made of Ho: mean = 71 versus Hy: mean < 71. The true value of the mean is 35, and Ho is not rejected. Is this a Type 1 error, Type II error, or a correct decision? Type II error Type I error Correct decision Question 13 (4.2 points) Consider the following hypotheses: Ho: mean = 7 Hi: mean = 7 A test is performed with a sample of size 36. The sample...
QUESTION 10 A test of Ho. u = 53 versus Hi: u<53 is performed using a significance level of a = 0.01 . The P-value is 0.046. If the true value of u is 46, does the conclusion result in a Type I error, a Type II error, or a correct decision? Type I error Correct decision OType II error
For the following hypothesis test, where Ho S 10. vs. Hau > 10, we reject Ho at level of significance a and conclude that the true mean is greater than 10, when the true mean is really 8. Based on this information, we can state that we have O made a Type I error. O made a Type Il error. O made a correct decision increased the power of the test.
A test of H0: μ = 50 versus H1: μ ≠ 50 is performed using a significance level of α = 0.01. The value of the test statistic is z = 1.23. a. Is H0 rejected? b. If the true value of μ is 50, is the result a Type I error, a Type II error, or a correct decision? A test of H0: μ = 50 versus H1: μ ≠ 50 is performed using a significance level of α...
8. You want to test Ho: p=0.6 vs. Ha: p=0.6 using a test of hypothesis. If you concluded that p is 0.6 when, in fact, the true value of p is not 0.6, then you have made a a. Type I error b. Type I and Type II error c. Type II error d. correct decision
Determine whether the outcome is a Type I error, a Type II error, or a correct decision. a. A test is made of : μ = 7 versus : ? ≥ 7 The true value of μ is 8 and is rejected b. A test is made of : μ = 18 versus : μ ≠ 18. The true value of μ is 18 and is rejected.
AT214-002-202060 Elementary Statistics ion 2 at answered dout of 4,00 A test is made of How = 5 versus H: >5. a. Determine the type of alternative hypothesis. b. The true value of is 5, and the null hypothesis is rejected. Determine whether the outcome represents a Type I error, a Type II error or a Correct Decision ag question revious page Next page Return to: July 27 - July ... →
Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of H0: μ = 67 versus H1: μ ≠ 67. The true value of μ is 68 and H0 is not rejected a)Type II error b)Type I error c)Correct decision
Determine whether the outcome is a Type I error, a Type II error, or a correct decision. A test is made of H0: μ = 40 versus H1: μ ≠ 40. The true value of μ is 40 and H0 is rejected. Group of answer choices Correct decision Type II error Type I error