Which one of the following statements are true about a 2-Sample t-test? It is used to compare differences between two group medians The variances of the two samples are statistically different. The samples to be compared must include the same number of observations Both samples must be from normally distributed processes

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

Which of the following statements is true for calculating the t-score for an independent two-sample t-test?A:    We use the sample means, sample sizes, and a pooled standard deviation.B:    We use the sample means, sample sizes, and the population standard deviation.C:    We use the mean difference between the samples, the standard deviation of the samples, and the average sample size.D:    We use the mean difference between the samples, the standard deviation of the differences, and the sample size.

Only one of these statements is wrong. Which is it?Question 14Answera.A one-sample t-test assumes homogeneity of varianceb. A two-sample t-test assumes homogeneity of variancec.A one-sample t-test assumes normalityd.A paired t-test assumes normality

Which of these is not an assumption of the two-sample t-test?Question 3Answera.Independenceb.Homogeneity of variancec.Normalityd.Sphericity

For performing the 2 Sample T Test, what is NOT an assumption?