Bundle: Statistics for Business & Economics, Loose-leaf Version, 13th + MindTap Business Statistics with XLSTAT, 2 terms (12 months) Printed Access Card
13th Edition
ISBN: 9781337127264
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: Cengage Learning
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Textbook Question
Chapter 11.1, Problem 4E
The variance in drug weights is critical in the pharmaceutical industry. For a specific drug, with weights measured in grams, a sample of 18 units provided a sample variance of s2 = .36.
- a. Construct a 90% confidence
interval estimate of the population variance for the weight of this drug. - b. Construct a 90% confidence interval estimate of the population standard deviation.
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1. The CLT provides an approximate sampling distribution for the arithmetic average Ỹ of a
random sample Y₁, . . ., Yn f(y). The parameters of the approximate sampling distribution
depend on the mean and variance of the underlying random variables (i.e., the population
mean and variance). The approximation can be written to emphasize this, using the expec-
tation and variance of one of the random variables in the sample instead of the parameters
μ, 02:
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For the following population distributions f, write the approximate distribution of the sample
mean.
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(c) Poisson with rate λ: P(Y = y) = exp(-\}
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2. Let Y₁,……., Y be a random sample with common mean μ and common variance σ². Use the
CLT to write an expression approximating the CDF P(Ỹ ≤ x) in terms of µ, σ² and n, and
the standard normal CDF Fz(·).
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Chapter 11 Solutions
Bundle: Statistics for Business & Economics, Loose-leaf Version, 13th + MindTap Business Statistics with XLSTAT, 2 terms (12 months) Printed Access Card
Ch. 11.1 - Find the following chi-square distribution values...Ch. 11.1 - A sample of 20 items provides a sample standard...Ch. 11.1 - A sample of 16 items provides a sample standard...Ch. 11.1 - The variance in drug weights is critical in the...Ch. 11.1 - John Calipari, head basketball coach for the 2012...Ch. 11.1 - Americans spend nearly 7 billion on Halloween...Ch. 11.1 - To analyze the risk, or volatility, associated...Ch. 11.1 - Consider a day when the Dow Jones industrial...Ch. 11.1 - An automotive part must be machined to close...Ch. 11.1 - Consumer Reports uses a 100-point customer...
Ch. 11.1 - At the end of 2008, the variance in the semiannual...Ch. 11.1 - A Fortune study found that the variance in the...Ch. 11.2 - Find the following F distribution values from...Ch. 11.2 - A sample of 16 items from population 1 has a...Ch. 11.2 - Consider the following hypothesis test....Ch. 11.2 - Investors commonly use the standard deviation of...Ch. 11.2 - Most individuals are aware of the fact that the...Ch. 11.2 - Data were collected on the top 1000 financial...Ch. 11.2 - The variance in a production process is an...Ch. 11.2 - On the basis of data provided by a Romac salary...Ch. 11.2 - Many smartphones, especially those of the...Ch. 11.2 - A research hypothesis is that the variance of...Ch. 11 - Because of staffing decisions, managers of the...Ch. 11 - Initial public offerings (IPOs) of stocks are on...Ch. 11 - The estimated daily living costs for an executive...Ch. 11 - Part variability is critical in the manufacturing...Ch. 11 - The filling variance for boxes of cereal is...Ch. 11 - City Trucking, Inc., claims consistent delivery...Ch. 11 - A sample of 9 days over the past six months showed...Ch. 11 - A sample standard deviation for the number of...Ch. 11 - Is there any difference in the variability in golf...Ch. 11 - The grade point averages of 352 students who...Ch. 11 - The accounting department analyzes the variance of...Ch. 11 - Two new assembly methods are tested and the...
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