Question 1What does the test statistic tell you? 1 pointIt indicates how many standard errors a point estimate lies from the expected null hypothesis population value.It's another word for the p-value.It indicates whether you should use z- or t-distribution to calculate probability.Itindicates how far from the actual population value your sample mean lies.

What is the p-value in hypothesis testing?*1 pointa. The probability of making a Type I errorb. The probability of rejecting the null hypothesis when it's truec. The probability of failing to reject the null hypothesis when it's falsed. The level of significance for the test

Suppose we are testing the hypotheses H0: 𝜇 = 5 versus Ha:  𝜇 > 5, and the conditions for performing the Z test are satisfied. For Z-score = 1.52, calculate the p-value.

What does the z-test assess in statistical analysis?*1 pointDifference between sample and population meanCorrelation between two variablesVariance within a single sampleEquality of sample sizes

In the p-value approach to hypothesis testing, how is the p-value used?a.It is compared to the level of significance to determine the rejection region.b.It is used to calculate the effect size of the observed data.c.It represents the probability of committing a Type 1 error.d.It determines the power of the statistical test.

In testing the hypothesesH0: μ = 75HA: μ < 75,if the value of the Z test statistic equals -1.78, then the p-value is:Group of answer choices0.9625.0.375.0.5375.0.4625.