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Statistical Techniques in Business & Economics 16 Edition: Marchal / Wathen

This document provides solutions to exercises from Statistical Techniques in Business & Economics 16th edition textbook. It includes solutions for 14 chapters covering topics such as describing and displaying data, probability concepts, probability distributions, sampling methods, estimation, hypothesis testing, analysis of variance, correlation, linear regression, and multiple regression. For each chapter, 6 or fewer exercises are solved with accompanying explanations. The solutions are intended to help students learn statistical methods and their applications in business and economics.

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344 views3 pages

Statistical Techniques in Business & Economics 16 Edition: Marchal / Wathen

This document provides solutions to exercises from Statistical Techniques in Business & Economics 16th edition textbook. It includes solutions for 14 chapters covering topics such as describing and displaying data, probability concepts, probability distributions, sampling methods, estimation, hypothesis testing, analysis of variance, correlation, linear regression, and multiple regression. For each chapter, 6 or fewer exercises are solved with accompanying explanations. The solutions are intended to help students learn statistical methods and their applications in business and economics.

Uploaded by

Sougata Tikader Franch
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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Statistical Techniques in Business & Economics 16th ED. Selected SOLUTIONS. Fouad.

Statistical Techniques in Business &


th
Economics 16 edition

Marchal / Wathen

MBA

realized by

Fouad. K

www.fouadk-stuvia.com

2017

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Statistical Techniques in Business & Economics 16th ED. Selected SOLUTIONS. Fouad.k

TABLE OF CONTENTS

CHAPTER. 1 What is Statistics? 4

A. Exercise no. 10 /14 (from page 14)


CHAPTER. 2 Describing Data: Frequency Tables, Frequency Distribution, and Graphic Presentation 5

A. Exercise no. 26/42 (from page 42)


B. Exercise no. 51/49.
CHAPTER. 3 Describing Data: Numerical Measures 9

A. Estimate the mean and the standard deviation for exercise no. 51 from page 49
B. Exercise no. 86/91.

CHAPTER. 4 Describing Data: Displaying and Exploring Data 11

A. Exercise no 44/125

CHAPTER. 5 A survey of Probability Concepts 14

A. Exercise no. 4/139


B. Exercise no. 30/155
C. Exercise no. 44/165
D. Exercise no. 66/169
E. Exercise no. 88/171
F. Exercise no. 92/171

CHAPTER. 6 Discrete Probability Distributions 20

A. Exercise no. 38/200


B. Exercise no. 40/201
C. Exercise no. 44/202
D. Exercise no. 48/202
E. Exercise no. 68/204
F. Exercise no. 70/205

CHAPTER. 7 Continuous Probability Distributions 26

A. Exercise no. 4/211


B. Exercise no. 30/226
C. Exercise no. 40/236
D. Exercise no. 62/240
E. Exercise no. 68/240
F. Exercise no. 74/241

CHAPTER. 8 Sampling Methods and the Central Limit Theorem 32

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Statistical Techniques in Business & Economics 16th ED. Selected SOLUTIONS. Fouad.k

A. Exercise no. 20/274


B. Exercise no. 22/274
C. Exercise no. 46/278

CHAPTER. 9 Estimation and Confidence Intervals 34

A. Exercise no. 12/297


B. Exercise no. 18/300
C. Exercise no. 22/304
A. Exercise no. 10/313

CHAPTER. 10 One-sample Tests of Hypothesis 37

A. Exercise no. 6/330


B. Exercise no. 12/336
C. Exercise no. 20/339

CHAPTER. 11 Two-sample Tests of Hypothesis 39

A. Exercise no. 6/355


B. Exercise no. 34/374

CHAPTER. 12 Analysis of Variance 44

A. Exercise no. 6/385


B. Exercise no. 30/413

CHAPTER. 13 Correlation and Linear Regression 46

A. Exercise no. 44/467


B. Please also answer the following:
d. Write down the regression equation and interpret the meaning of the slope;
e. Estimate the sales of a store with a size of 5 thousand square feet.

CHAPTER. 14 Multiple Regression Analysis 48

Use the dataset from exercise no. 12/508 to answer these questions:

A. Which is the dependent and which are the independent variables?


B. Is there a linear relationship between the size of the house and the family size? Or years of
education?
C. Use the stepwise method to develop the appropriate multiple regression equation. Interpret the
coefficients of the most appropriate model;
D. Make a plot of the residuals and comment on whether they appear to follow a normal
distribution
E. Plot the residuals vs fitted values. Do they seem to have the same amount of variation?

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