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 a z-test, what is the null hypothesis typically stating?*1 pointThe sample mean is equal to the population meanThe variance within the sample is significantThere is no correlation between variablesThere is a significant difference between sample means

One difference between conducting a z-test and a t-test is that in the former... the population mean is known the variance is twice as big the population variance is known the standard deviation is half as big

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 mean of the z-scores?Question 2Answera.0.5b.0c.1

What is measured by the denominator of the z-score test statistic?​Group of answer choices​The average distance between M and µ that would be expected if H0 was true​Whether or not there is a significant difference between M and µ​The actual distance between M and µ​The position of the sample mean relative to the critical region