Table of Contents
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Part I Exploring and Collecting Data
Chapter 1 Data and Decisions 1-1
Chapter 2 Displaying and Describing Categorical Data 2-1
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Chapter 3 Displaying and Describing Quantitative Data 3-1
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Chapter 4 Correlation and Linear Regression 4-1
Case Study: Paralyzed Veterans of America 4-49
Part II Modeling with Probability
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Chapter 5 Randomness and Probability 5-1
Chapter 6 Random Variables and Probability Models 6-1
Chapter 7 The Normal and Other Continuous Distributions 7-1
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Part III Gathering Data
Chapter 8 Data Sources: Observational Studies and Surveys 8-1
s2
Chapter 9 Data Sources:Experiments 9-1
Part IV Inference for Decision Making
47
Chapter 10 Sampling Distributions and Confidence Intervals for Proportions 10-1
Case Study: Real Estate Simulation
Chapter 11 Confidence Intervals for Means 11-1
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Chapter 12 Testing Hypotheses 12-1
Chapter 13 More about Tests and Intervals 13-1
Chapter 14 Comparing Two Means 14-1
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Chapter 15 Inference for Counts: Chi-Square tests 15-1
Brief Case: Loyalty Program 15-27
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Part V Models for Decision Making
Chapter 16 Inference for Regression 16-1
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Chapter 17 Understanding Residuals 17-1
Chapter 18 Multiple Regression 18-1
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Copyright © 2019 Pearson Education, Inc.
, Chapter 19 Buidling Multiple Regression Models 19-1
Chapter 20 Time Series Analysis 20-1
Case Study: Health Care Costs 20-33
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Part VI Analytics
Chapter 21 Introduction to Big Data and Data Mining 21-1
Part VII Online Topics
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Chapter 22 Quality Control 22-1
Chapter 23 Nonparametric Methods 23-1
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Chapter 24 Decision Making and Risk 24-1
Chapter 25 Analysis of Experiments and Observational Studies 25-1
en
iu
s2
47
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Copyright © 2019 Pearson Education, Inc.
, INSTRUCTOR'S SOLUTIONS MANUAL
FOR BUSINESS STATISTICS
tu
LINDA DAWSON
d
University of Washington
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BUSINESS S TATISTICS
en
4TH EDITION
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NOREAN R. SHARPE
s2
St. John’s University
RICHARD D. DE VEAUX
47
Williams College
PAUL F. VELLEMAN
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Cornell University
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,tu
d yg
en
iu
s2
The author and publisher of this book have used their best efforts in preparing this book. These efforts include
the development, research, and testing of the theories and programs to determine their effectiveness. The author
and publisher make no warranty of any kind, expressed or implied, with regard to these programs or the
documentation contained in this book. The author and publisher shall not be liable in any event for incidental or
consequential damages in connection with, or arising out of, the furnishing, performance, or use of these
47
programs.
Reproduced by Pearson from electronic files supplied by the author.
Copyright © 2019, 2015, 2012 Pearson Education, Inc.
??
Publishing as Pearson, 21 River Street, Hoboken, NJ 07030. All rights reserved.
All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted,
in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior
??
written permission of the publisher. Printed in the United States of America.
1 19
??
?
ISBN-13: 978-0-13-468763-6
?
ISBN-10:0-13-468763-9
tu
Part I Exploring and Collecting Data
Chapter 1 Data and Decisions 1-1
Chapter 2 Displaying and Describing Categorical Data 2-1
d
Chapter 3 Displaying and Describing Quantitative Data 3-1
yg
Chapter 4 Correlation and Linear Regression 4-1
Case Study: Paralyzed Veterans of America 4-49
Part II Modeling with Probability
en
Chapter 5 Randomness and Probability 5-1
Chapter 6 Random Variables and Probability Models 6-1
Chapter 7 The Normal and Other Continuous Distributions 7-1
iu
Part III Gathering Data
Chapter 8 Data Sources: Observational Studies and Surveys 8-1
s2
Chapter 9 Data Sources:Experiments 9-1
Part IV Inference for Decision Making
47
Chapter 10 Sampling Distributions and Confidence Intervals for Proportions 10-1
Case Study: Real Estate Simulation
Chapter 11 Confidence Intervals for Means 11-1
??
Chapter 12 Testing Hypotheses 12-1
Chapter 13 More about Tests and Intervals 13-1
Chapter 14 Comparing Two Means 14-1
??
Chapter 15 Inference for Counts: Chi-Square tests 15-1
Brief Case: Loyalty Program 15-27
??
Part V Models for Decision Making
Chapter 16 Inference for Regression 16-1
?
Chapter 17 Understanding Residuals 17-1
Chapter 18 Multiple Regression 18-1
?
Copyright © 2019 Pearson Education, Inc.
, Chapter 19 Buidling Multiple Regression Models 19-1
Chapter 20 Time Series Analysis 20-1
Case Study: Health Care Costs 20-33
tu
Part VI Analytics
Chapter 21 Introduction to Big Data and Data Mining 21-1
Part VII Online Topics
d
Chapter 22 Quality Control 22-1
Chapter 23 Nonparametric Methods 23-1
yg
Chapter 24 Decision Making and Risk 24-1
Chapter 25 Analysis of Experiments and Observational Studies 25-1
en
iu
s2
47
??
??
??
??
Copyright © 2019 Pearson Education, Inc.
, INSTRUCTOR'S SOLUTIONS MANUAL
FOR BUSINESS STATISTICS
tu
LINDA DAWSON
d
University of Washington
yg
BUSINESS S TATISTICS
en
4TH EDITION
iu
NOREAN R. SHARPE
s2
St. John’s University
RICHARD D. DE VEAUX
47
Williams College
PAUL F. VELLEMAN
??
Cornell University
??
??
? ?
,tu
d yg
en
iu
s2
The author and publisher of this book have used their best efforts in preparing this book. These efforts include
the development, research, and testing of the theories and programs to determine their effectiveness. The author
and publisher make no warranty of any kind, expressed or implied, with regard to these programs or the
documentation contained in this book. The author and publisher shall not be liable in any event for incidental or
consequential damages in connection with, or arising out of, the furnishing, performance, or use of these
47
programs.
Reproduced by Pearson from electronic files supplied by the author.
Copyright © 2019, 2015, 2012 Pearson Education, Inc.
??
Publishing as Pearson, 21 River Street, Hoboken, NJ 07030. All rights reserved.
All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted,
in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior
??
written permission of the publisher. Printed in the United States of America.
1 19
??
?
ISBN-13: 978-0-13-468763-6
?
ISBN-10:0-13-468763-9
