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?

The p-value for a one-sided test is half of the p-value for a two-sided test of the same null hypothesis based on the same data.Answer instructionsTrueFalse

A two-tailed test is conducted at the 5% significance level. What is the p-value of a sample result required to reject the null hypothesis?Question 16Answera.Less than or equal to 0.05b.Less than or equal to 0.025c.Greater than or equal to 0.05d.Greater than or equal to 0.10

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

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.

A two-sided hypothesis test for the difference between two population proportions provided statistically significant results at the 5% significance level. Check all the results below that could be the outcome of this test.