This exercise is a "what-if" analysis designed to determine what happens to the test statistics and interval estimates when elements of the statistical inference change. This problem can be solved manually, or using an Excel spreadsheet. For each of the following, determine the number of degrees of freedom assuming equal population variances and unequal population variances. (Round your answers to the nearest integer.) (a) n1 = 17, n2 = 17, s; = 25, s? = 17 Equal-variances t-test degrees of freedom Unequal-variances t-test degrees of freedom (b) n1 = 10, n2 = 17, s, = 100, s? = 14 Equal-variances t-test degrees of freedom Unequal-variances t-test degrees of freedom (c) n1 = 53, n2 = 53, s] = 7, s? = 15 Equal-variances t-test degrees of freedom Unequal-variances t-test degrees of freedom (d) n1 = 65, n2 = 48, s; = 72, s? = 12 Equal-variances t-test degrees of freedom Unequal-variances t-test degrees of freedom