QUESTION 10 A test of Ho. u = 53 versus Hi: u<53 is performed using a...
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...
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...
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...
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...
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?
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...
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
Throwback Question. Suppose the following hypotheses are tested: H.:p= 0.544 versus HQ:P + 0.544 What is the appropriate decision rule for this test? O reject H, if probability <a O reject H, if probability + a O reject H, if probability > a The probability for the test is found to be 0.0627. Based on the decision rule above, what type of error is possible if a = 0.05? Type I error O Type II error If the significance level...
To test Ho: u= 20 versus Hy: u<20, a simple random sample of size n= 19 is obtained from a population that is known to be normally distributed. Answer parts (a)-(d). Click here to view the t-Distribution Area in Right Tail. (a) If x = 18.1 and s= 3.9, compute the test statistic. (Round to two decimal places as needed.) t = (b) Draw a t-distribution with the area that represents the P-value shaded. Which of the following graphs shows...
To test Ho: p=0.35 versus Hy:p>0.35, a simple random sample of n = 200 individuals is obtained and x = 69 successes are observed. (a) What does it mean to make a Type Il error for this test? (b) If the researcher decides to test this hypothesis at the a = 0.01 level of significance, compute the probability of making a Type II error, B, if the true population proportion is 0.38. What is the power of the test? (c)...