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

When is a t-test preferred over a z-test in statistical analysis?*1 pointWhen the sample size is smallWhen dealing with categorical dataWhen comparing three or more groupsWhen the population standard deviation is known

When is the z-statistic used to estimate the population mean?a.When the population standard deviation is knownb.When the population standard deviation is unknownc.When the sample size is smalld.When the sample size is large

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

The t test for the difference between the means of two independent populationsalways assumes that the respectivea. sample sizes are equalb. sample variances are equalc. populations are normally distributed if each sample size is less than 30d. All of the above

33.What does the null hypothesis for normal deviate z test state?  A. There is no significance difference between your sample and population. The small difference is due to statistical fluctuations.  B. There is a significance difference between your sample and population.  C. The sample given to you and the population are not at all related.  D. The population is a subset of the sample given to you.