Let X1,..., X8 be a sample from a normal population with population mean μ =16 and population variance σ ^2 =1.5. Let X and S^2 denote the sample mean and sample variance. (a) Find P{15.5 < X < 16.2}. (b) Express P{S^2 ≥ 1.7} in terms of a chi-square random variable. (c) Find the conditional probability P({15.5 < X < 16.2}|{S^2 ≥ 1.7}).
Let X1,..., X8 be a sample from a normal population with population mean μ =16 and population variance σ ^2 =1.5. Let X and S^2 denote the sample mean and sample variance. (a) Find P{15.5 < X < 16.2}. (b) Express P{S^2 ≥ 1.7} in terms of a chi-square random variable. (c) Find the conditional probability P({15.5 < X < 16.2}|{S^2 ≥ 1.7}).
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter13: Probability And Calculus
Section13.2: Expected Value And Variance Of Continuous Random Variables
Problem 10E
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Let X1,..., X8 be a sample from a normal population with population mean μ =16 and population variance σ ^2 =1.5. Let X and S^2 denote the sample mean and sample variance.
(a) Find P{15.5 < X < 16.2}.
(b) Express P{S^2 ≥ 1.7} in terms of a chi-square random variable.
(c) Find the conditional probability P({15.5 < X < 16.2}|{S^2 ≥ 1.7}).
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