In: Statistics and Probability
Part 1) 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 | 255 | 251 | 244 | 276 | 240 | 265 | 257 | 252 | 282 |
256 | 250 | 264 | 270 | 275 | 245 | 275 | 253 | 265 | 270 |
Weights (in lb) of pro basketball players: x2; n2 = 19
203 | 200 | 220 | 210 | 191 | 215 | 221 | 216 | 228 | 207 |
225 | 208 | 195 | 191 | 207 | 196 | 183 | 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 = | |
s1 = | |
x2 = | |
s2 = |
(b) Let ?1 be the population mean for x1 and let ?2 be the population mean for x2. Find a 99% confidence interval for ?1 ? ?2. (Round your answers to one decimal place.)
lower limit: | |||||||||
upper limit: Part 2) (a) Compute a 95% confidence interval for ?1 – ?2. (Use 2 decimal places.)
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1) a) x1 = 259.7
s1 = 11.9
x2 = 205.8
s2 = 12.7
b) DF = (s1^2/n1 + s2^2/n2)^2/((s1^2/n1)^2/(n1 - 1) + (s2^2/n2)^2/(n2 - 1))
= ((11.9)^2/21 + (12.7)^2/19)^2/(((11.9)^2/21)^2/20 + ((12.7)^2/19)^2/18)
= 37
At 99% confidence interval the critical value is t0.005, 37 = 2.715
The 99% confidence interval is
(x1 - x2) +/- t0.005, 37 * sqrt(s1^2/n1 + s2^2/n2)
= (259.7 - 205.8) +/- 2.715 * sqrt((11.9)^2/21 + (12.7)^2/19)
= 53.9 +/- 10.6
= 43.3, 64.5
lower limit = 43.3
Upper limit = 64.5
2)a) At 95% confidence interval the critical value is z0.025 = 1.96
(x1 - x2) +/- z0.025 *
= (65 - 71.2) +/- 1.96 * sqrt((8.77)^2/9720 + (12.34)^2/25691)
= -6.2 +/- 0.23
= -6.43, -5.97
lower limit = -6.43
upper limit = -5.97
3) = 66/214 = 0.308
= 26/147 = 0.177
The pooled sample proportion(P) = ( * n1 + * n2)/(n1 + n2)
= (0.308 * 214 + 0.177 * 147)/(214 + 147)
= 0.255
SE = sqrt(P * (1 - P) * (1/n1 + 1/n2))
= sqrt(0.255 * (1 - 0.255) * (1/214 + 1/147))
= 0.047
At 99% confidence interval the critical value is z0.005 = 2.58
The 99% confidence interval is
+/- z0.005 * SE
= (0.308 - 0.177) +/- 2.58 * 0.047
= 0.131 +/- 0.121
= 0.010, 0.252