5.6-8. Let X equal the weight in grams of a miniature candy bar. Assume that u Var(X) = 2.20. Let X be the sample mean of a random sample of n = 30 candy bars. Find (4) E(X). (b) Var(X). (c) P(24.17< X < 24.82), approximately, = E(X) = 24.43 and o? %3D %3D

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5.6-8

5.6-7. Let X equal the of a human
. Let X equal the maximal oxygen intake of a human
5.0-admill, where the measurements are in milliliters
oven per minute per kilogram of weight. Assume
for a particular population, the mean of X is u
030 and the standard deviation is a
ihe sample mean of a random sample of size n = 47. Find
PI52.761 < X < 54.453), approximately.
%3D
= 5.8. Let X be
5.6-8. Let X equal the weight in grams of a miniature
candy bar. Assume that u = E(X)
Var(X) = 2.20. Let X be the sample mean of a random
sample of n = 30 candy bars. Find
(a) E(X). (b) Var(X). (c) P(24.17 < X < 24.82),
approximately.
24.43 and o2
%3D
%3D
%3D
%3%D
5.6-9. In Example 5.6-4, with n = 4, compute P(1.7 <
2) and compare your answer with the normal
approximation of this probability.
o-10. Let X and Y equal the respective numbers of
toona randomly selected child watches movies or car-
it is ko V during a certain month. From experience,
Varown that E(X) = 30, E(Y) = 50, Var(X) =
are selected
=D14. Twenty-five children
at 10
Transcribed Image Text:5.6-7. Let X equal the of a human . Let X equal the maximal oxygen intake of a human 5.0-admill, where the measurements are in milliliters oven per minute per kilogram of weight. Assume for a particular population, the mean of X is u 030 and the standard deviation is a ihe sample mean of a random sample of size n = 47. Find PI52.761 < X < 54.453), approximately. %3D = 5.8. Let X be 5.6-8. Let X equal the weight in grams of a miniature candy bar. Assume that u = E(X) Var(X) = 2.20. Let X be the sample mean of a random sample of n = 30 candy bars. Find (a) E(X). (b) Var(X). (c) P(24.17 < X < 24.82), approximately. 24.43 and o2 %3D %3D %3D %3%D 5.6-9. In Example 5.6-4, with n = 4, compute P(1.7 < 2) and compare your answer with the normal approximation of this probability. o-10. Let X and Y equal the respective numbers of toona randomly selected child watches movies or car- it is ko V during a certain month. From experience, Varown that E(X) = 30, E(Y) = 50, Var(X) = are selected =D14. Twenty-five children at 10
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