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 = 21248262256251244276240265257252282256250264270275245275253265272Weights (in lb) of pro basketball players: x2; n2 = 19204200220210193215221216228207225208195191207196183193201(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)The value of mean for pro football players X1 is obtained below:

Answered: Independent random samples of…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

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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	262	256	251	244	276	240	265	257	252	282
256	250	264	270	275	245	275	253	265	272

Weights (in lb) of pro basketball players: x₂; n₂ = 19

204	200	220	210	193	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 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

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