In: Statistics and Probability
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 = 21 249 261 256 251 244 276 240 265 257 252 282 256 250 264 270 275 245 275 253 265 271 Weights (in lb) of pro basketball players: x2; n2 = 19 202 200 220 210 191 215 223 216 228 207 225 208 195 191 207 196 181 193 201 (a) Use a calculator with mean and standard deviation keys to calculate x1, s1, x2, and s2. (Round your answers to one decimal place.) x1 = 259.9 Correct: Your answer is correct. s1 = 11.7 Incorrect: Your answer is incorrect. x2 = 205.7 Correct: Your answer is correct. s2 = 12.7 Incorrect: Your answer is incorrect. (b) Let μ1 be the population mean for x1 and let μ2 be the population mean for x2. Find a 99% confidence interval for μ1 − μ2. (Round your answers to one decimal place.)
(a) Use a calculator with mean and standard deviation keys to calculate x1, s1, x2, and s2. (Round your answers to one decimal place.)
x1 = | |
s1 = | |
x2 = | |
s2 = |
(b) Let μ1 be the population mean for
x1 and let μ2 be the population mean
for x2. Find a 99% confidence interval for
μ1 − μ2. (Round your answers to one decimal
place.)
lower limit | |
upper limit |
a) Since we know that
b) Confidence interval(in %) = 99
z @ 99.0% = 2.5758
Required confidence interval = (259.8571-205.7368-9.9059,
259.8571-205.7368+9.9059)
Required confidence interval = (44.2144, 64.0262)
lower limit = 44.2
upper limit = 64.0
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