Suppose the P-value for a hypothesis test is 0.0304.  Using a = 0.05, what is the appropriate conclusion?

Suppose we want to test the null hypothesis H0 : p = 0.28 against the alternative hypothesis H1 : p ≠ 0.28. Suppose also that we observed 100 successes in a random sample of 400 subjects and the level of significance is 0.05. What is the p-value for this test? Question 2Select one:a.0.05b.0.9563c.0.1802d.0.0901

For a strong Null hypothesis, what should be the value of P-value?Select an option Clear ResponseP-value must be greater than 0.05P-value must be lesser than 0.05P-value must be equal to 0.05P-value cannot determine the null hypothesis

A p-value of a one-sided hypothesis test is 0.035. At the 5% significance level, what would be the correct conclusion if the hypothesis was two-sided?

In a hypothesis test, the p-value is 0.009. The stated significance level is 0.05. What is the decision regarding the null hypothesis? a. More information is needed to make a decision. b. Not reject the null hypothesis c. Reject the null hypothesis. d. Reject the alternative hypothesis.

Suppose we are conducting a hypothesis test with the following hypotheses:H0: p = 0.7H1: p > 0.7Furthermore suppose we get a p-value of 0.07 while using = 0.05, which of the following is the correct decision?a.At the 5% level of significance, there is significant evidence to reject H1 and retain H0.  b.At the 5% level of significance, there is significant evidence to retain H0c.At the 5% level of significance, there is significant evidence to reject H0 in favour of H1.  d.At the 5% level of significance, there is not significant evidence to reject H0.