Independent random samples of professional football and basketball players gave the following information. Assume that the weight distributions are mound-shaped and symmetric. Weights (in lb) of pro football players: x1; n1 = 21 248 261 256 251 244 276 240 265 257 252 282 256 250 264 270 275 245 275 253 265 271 Weights (in lb) of pro basketball players: x2; n2 = 19 205 200 220 210 193 215 222 216 228 207 225 208 195 191 207 196 182 193 201 l5 use SALT (a) Use a calculator with mean and standard deviation keys to calculate x1, 51, 22, and 52. (Round your answers to four decimal places.) x1 = 51 = x2 = 52: (b) Let [41 be the population mean for x1 and let [42 be the population mean for X2. Find a 99% condence interval for [41 [42. (Round your answers to one decimal place.) lower limit upper limit (c) Examine the confidence interval and explain what it means in the context of this problem. Does the interval consist of numbers that are all positive? all negative? of different signs? At the 99% level of confidence, do professional football players tend to have a higher population mean weight than professional basketball players? Because the interval contains only negative numbers, we can say that professional football players have a lower mean weight than professional basketball players. Because the interval contains both positive and negative numbers, we cannot say that professional football players have a higher mean weight than professional basketball players. Because the interval contains only positive numbers, we can say that professional football players have a higher mean weight than professional basketball players