The testing a hypothesis, describe the step-by-step procedure?

Describe about The power of a hypothesis test.

Retaining a false null hypothesis, which type of error it is?

Why hypothesis testing is done?

use a hypothesis test to determine if the proportions are statistically different. A recent survey showed that in a sample of 100 elementary school teachers, 15 were single. In a sample of 180high school teachers, 36 were single. Is the proportion of high school teachers who were single greater than theproportion of elementary teachers who were single? Use ΅ = 0.01.

Hypothesis testing will consist of four hypothesis tests which you need to complete. While you will not need to show your work or upload any files, each test will require the following: Type of Test: Null Hypothesis: Alternate Hypothesis: SE: Test Statistic: P-value: Decision: Sentence:

The P-value for a hypothesis test is shown. Use the P-value to decide whether to reject H, when the level of significance is (a) a = 0.01, (b) a = 0.05, and (c) a = 0.10. P=0.0212 (a) Do you reject or fail to reject H, at the 0.01 level of significance? O A. Fail to reject H, because the P-value, 0.0212, is greater than a= 0.01. O B. Reject H, because the P-value, 0.0212, is greater than a = 0.01. OC. Reject H, because the P-value, 0.0212, is less than a = 0.01. O D. Fail to reject H, because the P-value, 0.0212, is less than a = 0.01. (b) Do you reject or fail to reject H, at the 0.05 level of significance? O A. Fail to reject H, because the P-value, 0.0212, is greater than a= 0.05. O B. Reject H, because the P-value, 0.0212, is greater than a = 0.05. OC. Fail to reject H, because the P-value, 0.0212, is less than a = 0.05. O D. Reject H, because the P-value, 0.0212, is less than a = 0.05. (c) Do you reject or fail to reject H, at the 0.10 level of significance? O A. Reject H, because…

Test the hypothesis using the​ P-value approach. Be sure to verify the requirements of the test.   H0: p=0.72 versus H1: p≠0.72 n=500, x=350, a=0.01

In performing a hypothesis test, one should decide whether to reject or not reject the null hypothesis before summarizing the results. True or false. Explain.

What would a t-test look like?