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.

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.Group of answer choicesp-value = 0.04795% confidence interval: ( -0.21, 0.05)p-value = 0.1795% confidence interval: (0.03, 0.09)p-value = 0.20195% confidence interval: (-0.28, -0.17)

The p-value of a one-sided hypothesis test is 0.056. At the 10% significance level, what can we conclude if it was a two-sided hypothesis test instead?

When testing the difference between two population proportions, a t test may be used.Group of answer choicesTrueFalse

For testing the difference between two population proportions, the pooled proportion estimate should be used to compute the value of the test statistic when the:Group of answer choicespopulations are normally distributed.sample sizes are large enough.null hypothesis states that the first population proportion is half of the second.null hypothesis states that the two population proportions are equal.

he p-value for the hypothesis test is 0.0139 , which means the observed difference is/ is noy statistically significant at the 5% level