There is a hypothesis that Virat Kohli performs better or as good in the second innings of a test match as the first innings. This would be a two-sample mean test. This means that sample 1 and 2 would contain his scores from the first and second innings, respectively. This would be a paired test since each row in the data would correspond to the same match.What would be the null hypothesis in this case?H₀: μ₂ - μ₁ = 0H₀: μ₂ - μ₁ ≥ 0H₀: μ₂ - μ₁ ≤ 0H₀: μ₁ - μ₂ ≠ 0

The paired t-test is essentially ...Question 2Answera.A two-sample t-test with the null hypothesis that the two means are differentb.A two-sample t-test with the null hypothesis that the two means are equalc.A one-sample t-test with the null hypothesis that the difference scores have a mean equal to the higher scored.A one-sample t-test with the null hypothesis that the difference scores have a mean of 0

If the null hypothesis is µ ≥ 200, then a two-tail test is being conducted.

What is the purpose of a paired sample t-test?*To compare means of two independent samplesTo compare means of two dependent samplesTo compare variances of two independent samplesTo compare variances of two dependent samplesNone of the above

You are analyzing data for a research project. You have a two-sided two-sample t-test with the following hypotheses being tested:H0: μ1 − μ2 = 0Ha: μ1 − μ2 ≠ 0Which of the following results for the confidence interval provides enough evidence to reject the null hypothesis? 95% confidence interval: (−3.853, −0.943) 95% confidence interval: (−0.285, 1.345

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)