1. A student researcher compares the heights of men and women from the student body of a certain college in order to estimate the difference in their mean heights. A random sample of 9 men had a mean height of 67.9 inches with a standard deviation of 1.68 inches. A random sample of 19 women had a mean height of 62.6 inches with a standard deviation of 1.82 inches. Determine the 95% confidence interval for the true mean difference between the mean height of the men and the mean height of the women. Assume that the population variances are equal and that the two populations are normally distributed. Find the value of ta/2 to be used in constructing the confidence interval. 2. A student researcher compares the heights of men and women from the student body of a certain college in order to estimate the difference in their ; mean heights. A random sample of 18 men had a mean height of 68.8 inches with a standard deviation of 2.93 inches. A random sample of 9 women had a mean height of 63.9 inches with a standard deviation of 2.97 inches. Determine the 90% confidence interval for the true mean difference between the mean height of the men and the mean height of the women. Assume that the population variances are equal and that the two., populations are normally distributed. Find the standard error of the sampling distribution to be used in constructing the confidence interval.
3. A student researcher compares the heights of men and women from the student body of a certain college in order to estimate the difference in their mean heights. A random sample of 18 men had a mean height of 68.8 inches with a standard deviation of 2.93 inches. A random sample of 9 women had a mean height of 63.9 inches with a standard deviation of 2.97 inches. Determine the 90% confidence interval for the true mean difference between the mean height of the men and the mean height of the women. Assume that the population variances are equal and that the populations are normally distributed. Construct the 90% confidence interval.