Statistics For Management And Economics Eighth Edi
Statistics for Management and Economics Eighth Edi
Exam (elaborations)
Instructor’s Solutions Manual for Statistics for Management and Economics Eighth Edition Gerald Keller
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Statistics for Management and Economics Eighth Edi
Institution
Statistics For Management And Economics Eighth Edi
Book
Statistics for Management & Economics, Abbreviated (Book Only)
How the Solutions Were Produced 1
Chapter 1: What is Statistics? 3
Chapter 2: Graphical Descriptive and Tabular Techniques 5
Chapter 3: Art and Science of Graphical Presentations 77
Chapter 4: Numerical Descriptive Techniques 97
Chapter 5: Data Collection and Sampling 139
Chapter 6: Probabili...
Statistics for Management and Economics Eighth Edi
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Instructor’s Solutions Manual
for
Statistics for Management and Economics
Eighth Edition
Gerald Keller
Wilfrid Laurier University
This edition is intended for use outside of the U.S. only, with content that may be different from the U.S. Edition. This may not be resold, copied,
or distributed without the prior consent of the publisher.
, TABLE OF CONTENTS
How the Solutions Were Produced 1
Chapter 1: What is Statistics? 3
Chapter 2: Graphical Descriptive and Tabular Techniques 5
Chapter 3: Art and Science of Graphical Presentations 77
Chapter 4: Numerical Descriptive Techniques 97
Chapter 5: Data Collection and Sampling 139
Chapter 6: Probability 143
Chapter 7: Random Variables and Discrete Probability Distributions 173
Chapter 8: Continuous Probability Distributions 199
Chapter 9: Sampling Distributions 213
Chapter 10: Introduction to Estimation 221
Chapter 11: Introduction to Hypothesis Testing 229
Chapter 12: Inference about One Population 251
Chapter 13: Inference about Two Populations 281
Chapter 14:Analysis of Variance 349
Chapter 15: Chi-Squared Tests 401
Chapter 16 Simple Linear Regression 447
Chapter 17: Multiple Regression 517
Chapter 18: Model Building 579
Chapter 19: Nonparametric Statistical Techniques 613
Chapter 20 Time-Series Analysis and Forecasting 685
Chapter 21 Statistical Process Control 705
Chapter 22: Decision Analysis 733
This edition is intended for use outside of the U.S. only, with content that may be different from the U.S. Edition. This may not
be resold, copied, or distributed without the prior consent of the publisher.
, How the Solutions Were Produced
All answers have been-double-checked for accuracy. However, we cannot be absolutely certain
that there are no errors. When and if we discover mistakes we will post corrected answers on
our web page. (See page 8 in the textbook for the address.) If you find any errors, please email
the author (address on web page). We will be happy to acknowledge you with the discovery.
Chapter 2
Excel was employed to draw the histograms, bar charts, pie charts, line charts, and scatter diagrams.
Chapter 4
Excel was used to draw box plots and compute the descriptive statistics for exercises with data sets.
Chapters 6 through 9
Probabilities were computed manually. Probability trees were used where possible.
Chapters 10 through 19 and 21
Calculations for exercises that provided statistics either in the exercise itself or in Appendix A were
completed manually. The solutions to exercises requiring the use of a computer were produced using
Excel. Confidence interval estimates used critical values obtained from the tables in Appendix B. In
some cases we were required to use approximations. As a consequence some confidence interval
estimates will differ slightly from those produced by computer. In tests of hypothesis where the
sampling distribution is normal, p-values were computed manually using Table 3. Excel was
employed to calculate the p-value for all other tests.
1
This edition is intended for use outside of the U.S. only, with content that may be different from the U.S. Edition. This may not
be resold, copied, or distributed without the prior consent of the publisher.
, Chapters 13, and Appendixes 13 to 17, and 19
We employed the F-test of two variances at the 5% significance level to decide which one of the
equal-variances or unequal-variances t-test and estimator of the difference between two means to use
to solve the problem. Additionally, for exercises that compare two populations and are accompanied
by data files, our answers were derived by defining the sample from population 1 as the data stored in
the first column (often column A in Excel and column 1 in Minitab). The data stored in the second
column represent the sample from population 2. Paired differences were defined as the difference
between the variable in the first column minus the variable in the second column.
Chapter 19 and Appendix 19
In the exercises whose datasets contained interval data we used a nonparametric technique after
examining the relevant histograms and subjectively judging the variable to be “extremely nonnormal.”
Chapters 17 and 18
Excel produced all the solutions to these exercises.
Chapter 20
Most solutions were produced manually. Excel solved the more time-consuming exercises.
Chapter 21
All control charts were produced by Excel.
2
This edition is intended for use outside of the U.S. only, with content that may be different from the U.S. Edition. This may not
be resold, copied, or distributed without the prior consent of the publisher.
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