A random variable X has a mean μ = 14 and a variance o²=4. Using Chebyshev's theorem, complete parts (a) throug (d). (a) Find P(|X-14| ≥ 5). P(IX-1425) (b) Find P(|X-14|<5). P(|X-14|<5) (c) Find P(11
A random variable X has a mean μ = 14 and a variance o²=4. Using Chebyshev's theorem, complete parts (a) throug (d). (a) Find P(|X-14| ≥ 5). P(IX-1425) (b) Find P(|X-14|<5). P(|X-14|<5) (c) Find P(11
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Transcribed Image Text:A random variable X has a mean μ = 14 and a variance o² =4. Using Chebyshev's theorem, complete parts (a) through
(d).
***
(a) Find P(|X-14| ≥ 5).
P(IX-1425)
(b) Find P(|X-14| <5).
P(|X-14|<5)
(c) Find P(11<x< 17).
P(11<x<17)[
(Type an integer or a simplified fraction.)
(d) Find the value of the constant c such that P(|X-14 ≥ c) ≤0.0625.
(Type an integer or a simplified fraction.)
(Type an integer or a simplified fraction.)
(Type an integer or a simplified fraction.)
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