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
12 (a). Explain type I error and type II error in hypothesis. b) Test the hypothesis...
statistics 10 (a). Explain type I error and type II error in hypothesis. b) Test the hypothesis using If n=300; x = 75; α= 0.01 left to right problem
Can someone answer and explain how to do these problems? 1 Type II Error: For the roulette table in (Q6), determine which hypothesis testing scenario has the larger Type II error probability for a two-sided hypothesis for HO: p=18/19: 1. a) N=10,000, p=0.96 , α=0.05 OR b) N=10,000, p=0.97 , α=0.05. 2. a) N=10,000, p=0.96, α=0.05 OR b) N=50,000, p=0.96, α=0.05. 3. a) N=10,000, p=0.97, α=0.05 OR b) N=10,000, p=0.97, α=0.01. Describe how the Type II error is influenced by...
Test the hypothesis using the P-value approach. Be sure to verify the requirements of the test. H0: p=0.6 versus H1: p>0.6 n=250; x=160, a=0.01 Is np 0 ( 1−p0) ≥10? Yes No Use technology to find the P-value. P- value=________ (Round to three decimal places as needed.) __________the null hypothesis, because the P-value is __________ than α.
Test the hypothesis using the P-value approach. Be sure to verify the requirements of the test. H0: p=0.4 versus H1: p>0.4 n = 250; x = 105, α = 0.01 Is np0 (1 - p0) ≥10? Yes No Use technology to find the P-value. P-equals=__?__ (Round to three decimal places as needed.) Reject Do not reject the null hypothesis, because the P-value is ▼ greater less than α.
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...
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
Test the hypothesis using the P-value approach. Be sure to verify the requirements of the test. H0:p=0.6 versus H1:p>0.6 n=100; x=65; a=0.01 Calculate the test statistic,z0. Z0= ___? Identify the P-value. P-value=____?
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
In Problems 7–12, test the hypothesis using (a) the classical approach and (b) the P-value approach. Be sure to verify the requirements of the test. 9. H0: p = 0.55 versus H1: p 6 0.55 n = 150; x = 78; a = 0.1
Test the hypothesis, using (a) the classical approach and then (b) the P-value approach. Be sure to verify the requirements of he test. Ho p 0.6 vsus H p>0.6 n 100; x- 75, a-0.05 a) Choose the correct result of the hypothesis test for the classic approach below. OA. Do not reject the null hypothesis, because the test statistic is greater than the critical value B. O C. Reject the null hypothesis, because the test statistic is greater than the...