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
Determine whether the outcome is a Type I error, a Type II error, or a correct...
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. 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.
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...
Suppose we wish to test H0: μ=45 vs. H1: μ> 45. What will result if we conclude that the mean is greater than 45 when the actual mean is 50? Group of answer choices We have made a Type I error. We have made a Type II error. We have made both a Type I error and a Type II error. We have made the correct decision.
A test of H0: μ = 20 versus H1: μ > 20 is performed using a significance level of α = 0.05. The value of the test statistic is z = 1.47. If the true value of μ is 25, does the test conclusion result in a Type I error, a Type II error, or a Correct decision?
Practice 9.37 Consider a hypothesis test with Determine whether cach of the following decisions is correct or this bridge ha a. Write th mean n H..μ-180 and H-r<180 Bridge b. For the type II in error. Identify each error as type I or type II a. The true value ofμ is 180 and H. isrepected. b. The true value of a is 179 and H, is rejected c. The true value of μ is 160 and Ho is not rejected....
12 (a). Explain type I error and type II error in hypothesis. b) Test the hypothesis using H0 : p=0.6 versus H1 : p is greater than 0.6 If n=300; x = 75; α= 0.01
please explain how you determine which error it is as well A test of Ho: μ-51 versus HI : μメ51 is performed using a significance level of α-0.01. The value of the test statistic is z 2.34. Part 1 of 3 Determine whether to reject Ho Y in the critical region, we ireject Since the test statistics 1 Ho at the α-0.01 level. Part 2 of 3 If the true value of u is 51, is the result a Type...
Fill in the following table with the words CORRECT, TYPE I ERROR, and TYPE II ERROR. H0 true H0 false Reject H0 Fail to Reject H0
Question 8 (1 point) A test is made of Ho: mean = 119 versus Hy: mean < 119. The true value of the mean is 103, and Ho is rejected. Is this a Type I error, Type II error, or a correct decision? O Correct decision Type Il error Type I error Question 9 (1 point) A test is made of Ho: mean = 0.94 versus H: mean > 0.94. The true value of the mean is 0.94, and Ho...