A significance test was performed to test H0: μ = 2 vs H1: μ ≠ 2  based on a sample of 16 observations.The test statistic is t = −2.125.  Based on the Minitab output below, the p-value for this test is in the interval:Group of answer choices(0, 0.01)(0.01, 0.025)(0.025, 0.05)(0.05, 0.1)(0.1, 1)

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

The p-value for the hypothesis test is 0.0062 , which means the observed difference [ Select ] statistically significant at the 1% level.

Which of the following facts about the p-value of a test is correct? Check all that apply. The p-value is calculated under the assumption that the null hypothesis is true. The smaller the p-value, the more evidence the data provide against H0. The p-value can have values between −1 and 1.

In testing the hypothesesH0: μ = 50HA: μ < 50we found that the standardised test statistic is Z = –1.59. Calculate the p-value.Group of answer choices0.02950.05590.11180.9441

When the p-value is less than the significance level (