9th Edition

ISBN: 9780321794772

Author: Sheldon Ross

Publisher: PEARSON

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Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could co…

Normal Distribution

Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a…

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Textbook Question

Chapter 8, Problem 8.8TE

Explain why a gamma random variable with parameters ( t , λ ) has an approximately normal distribution when t is large.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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Chapter 8, Problem 8.7TE

Chapter 8, Problem 8.9TE

Chapter 8 Solutions

A First Course in Probability

Ch. 8 - Suppose that X is a random variable with mean and...Ch. 8 - From past experience, a professor knows that the...Ch. 8 - Use the central limit theorem to solve part (c) of...Ch. 8 - Let X1,...,X20 be independent Poisson random...Ch. 8 - Fifty numbers are rounded off to the nearest...Ch. 8 - A die is continually rolled until the total sum of...Ch. 8 - A person has 100 light bulbs whose lifetimes are...Ch. 8 - In Problem 8.7, suppose that it takes a random...Ch. 8 - If X is a gamma random variable with parameters...Ch. 8 - Civil engineers believe that W, the amount of...

Ch. 8 - Many people believe that the daily change of price...Ch. 8 - We have 100 components that we will put in use in...Ch. 8 - Student scores on exams given by a certain...Ch. 8 - A certain component is critical to the operation...Ch. 8 - An insurance company has 10.000 automobile...Ch. 8 - A.J. has 20 jobs that she must do in sequence,...Ch. 8 - Redo Example 5b under the assumption that the...Ch. 8 - Repeat part (a) of Problem 8.2 when it is known...Ch. 8 - A lake contains 4 distinct types of fish. Suppose...Ch. 8 - If X is a nonne9ative random variable with mean...Ch. 8 - Let X be a nonnegative random variable. Prove that...Ch. 8 - Prob. 8.22P Ch. 8 - Let X be a Poisson random variable with mean 20....Ch. 8 - Prob. 8.24P Ch. 8 - If X has variance 2, then , the positive square...Ch. 8 - If X has mean and standard deviation , the ratio...Ch. 8 - Compute the measurement signal-to-noise ratio-that...Ch. 8 - Let Zn,n1, be a sequence of random variables and...Ch. 8 - Prob. 8.5TE Ch. 8 - Prob. 8.6TE Ch. 8 - Prob. 8.7TE Ch. 8 - Explain why a gamma random variable with...Ch. 8 - Prob. 8.9TE Ch. 8 - If X is a Poisson random variable with mean , show...Ch. 8 - Prob. 8.11TE Ch. 8 - Prob. 8.12TE Ch. 8 - Prob. 8.13TE Ch. 8 - Prob. 8.14TE Ch. 8 - The number of automobiles sold weekly at a certain...Ch. 8 - Prob. 8.2STPE Ch. 8 - If E[X]=75E[Y]=75Var(X)=10var(Y)=12cov(X,Y)=3 give...Ch. 8 - Prob. 8.4STPE Ch. 8 - Prob. 8.5STPE Ch. 8 - Prob. 8.6STPE Ch. 8 - Prob. 8.7STPE Ch. 8 - Prob. 8.8STPE Ch. 8 - Prob. 8.9STPE Ch. 8 - A tobacco company claims that the amount of...Ch. 8 - Prob. 8.11STPE Ch. 8 - Prob. 8.12STPE Ch. 8 - The strong law of large numbers states that with...Ch. 8 - Each new book donated to a library must be...

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Explain why a gamma random variable with parameters ( t , λ ) has an approximately normal distribution when t is large.

Solution Summary: The author explains that the gamma random variable with parameters (mathrmt,

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Chapter 8 Solutions