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●TRUSTED TEAM OF DISTINGUISHED AUTHORS ENSURES THE MOST ACCURATE, PROVEN PRESENTATION. Prominent leaders and active consultants in business and statistics, authors David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Michael J. Fry and Jeffrey W. Ohlmann deliver an accurate, real-world presentation of statistical concepts you can trust with every edition.
●SYSTEMATIC APPROACH EMPHASIZES PROVEN METHODS AND APPLICATIONS. Students first develop a computational foundation and thoroughly master the use of techniques before moving to statistical application and interpretation of the value of techniques. Methods Exercises at the end of each section stress computation and use of formulas, while Application Exercises require students to apply what they know about statistics to real-world problems
●SYSTEMATIC APPROACH EMPHASIZES PROVEN METHODS AND APPLICATIONS. Students first develop a computational foundation and thoroughly master the use of techniques before moving to statistical application and interpretation of the value of techniques. Methods Exercises at the end of each section stress computation and use of formulas, while Application Exercises require students to apply what they know about statistics to real-world problems
作者簡介
Dr. David R. Anderson is a leading author and Professor Emeritus of Quantitative Analysis in the College of Business Administration at the University of Cincinnati.
Dr. Dennis J. Sweeney is a leading author, Professor Emeritus of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati.
Dr. Thomas A. Williams is both a prominent author and Professor Emeritus of Management Science in the College of Business at Rochester Institute of Technology.
Dr. Jeffrey D. Camm is the Inmar Presidential Chair and Associate Dean of Business Analytics in the School of Business at Wake Forest University.
James J. Cochran is Associate Dean for Research, Professor of Applied Statistics and the Rogers-Spivey Faculty Fellow at The University of Alabama.
Michael J. Fry is Professor and Academic Director of the Center for Business Analytics in the Carl H. Lindner College of Business at the University of Cincinnati.
Jeffrey W. Ohlmann is Associate Professor of Management Sciences and Huneke Research Fellow in the Tippie College of Business at the University of Iowa.
Dr. Dennis J. Sweeney is a leading author, Professor Emeritus of Quantitative Analysis and founder of the Center for Productivity Improvement at the University of Cincinnati.
Dr. Thomas A. Williams is both a prominent author and Professor Emeritus of Management Science in the College of Business at Rochester Institute of Technology.
Dr. Jeffrey D. Camm is the Inmar Presidential Chair and Associate Dean of Business Analytics in the School of Business at Wake Forest University.
James J. Cochran is Associate Dean for Research, Professor of Applied Statistics and the Rogers-Spivey Faculty Fellow at The University of Alabama.
Michael J. Fry is Professor and Academic Director of the Center for Business Analytics in the Carl H. Lindner College of Business at the University of Cincinnati.
Jeffrey W. Ohlmann is Associate Professor of Management Sciences and Huneke Research Fellow in the Tippie College of Business at the University of Iowa.
序
Changes in the 14th Edition
We appreciate the acceptance and positive response to the previous editions of Statistics for Business and Economics. Accordingly, in making modifications for this new edition, we have maintained the presentation style and readability of those editions. There have been many changes made throughout the text to enhance its educational effectiveness. The most substantial changes in the new edition are summarized here.
Content Revisions
●Software. In addition to step-by-slep instructions in the software appendices for Excel 2016, we also provide instructions for JMP Student Edition 14 and R. This provides students exposure to and experience with the current versions of several of the most commonly used software for statistical analysis in business. Excel 2016 and JMP appendices are contained within the textbook chapters, while R appendices are provided in MindTap Reader. In this latest edition, we no longer provide discussion of the use of Minitab.
●Case Problems. We have added 12 new case problems in this edition; the total number of cases is now 42. One new case on graphical display has been added to Chapter 2. Two new cases using discrete probability distributions have been added to Chapter 5, and one new case using continuous probability distributions has been added to Chapter 6. A new case on hypothesis testing has been added to Chapter 11, and two new cases on testing proportions have been added to Chapter 12. The Chapter 16 case on regression model building has been updated. A new case utilizing nonparametric procedures has been added to Chapter 18, and a new case on sample survey has been added to Chapter 22. The 42 case problems in this book provide students the opportunity to work on more complex problems, analyze larger data sets, and prepare managerial reports based on the results of their analyses.
●Examples and Exercises Based on Real Data. In this edition, we have added headers to all Applications exercises to make the application of each problem more obvious. We continue to make a substantial effort to update our text examples and exercises with the most current real data and referenced sources of statistical information. We have added more than 160 new examples and exercises based on real data and referenced sources. Using data from sources also used by The Wall Street Journal, USA Today, The Financial Times, and others, we have drawn from actual studies and applications to develop explanations and create exercises that demonstrate the many uses of statistics in business and economics. We believe that the use of real data from interesting and relevant problems helps generate more student interest in the material and enables the student to learn about both statistical methodology and its application. The 14th edition contains more than 350 examples and exercises based on real data.
We appreciate the acceptance and positive response to the previous editions of Statistics for Business and Economics. Accordingly, in making modifications for this new edition, we have maintained the presentation style and readability of those editions. There have been many changes made throughout the text to enhance its educational effectiveness. The most substantial changes in the new edition are summarized here.
Content Revisions
●Software. In addition to step-by-slep instructions in the software appendices for Excel 2016, we also provide instructions for JMP Student Edition 14 and R. This provides students exposure to and experience with the current versions of several of the most commonly used software for statistical analysis in business. Excel 2016 and JMP appendices are contained within the textbook chapters, while R appendices are provided in MindTap Reader. In this latest edition, we no longer provide discussion of the use of Minitab.
●Case Problems. We have added 12 new case problems in this edition; the total number of cases is now 42. One new case on graphical display has been added to Chapter 2. Two new cases using discrete probability distributions have been added to Chapter 5, and one new case using continuous probability distributions has been added to Chapter 6. A new case on hypothesis testing has been added to Chapter 11, and two new cases on testing proportions have been added to Chapter 12. The Chapter 16 case on regression model building has been updated. A new case utilizing nonparametric procedures has been added to Chapter 18, and a new case on sample survey has been added to Chapter 22. The 42 case problems in this book provide students the opportunity to work on more complex problems, analyze larger data sets, and prepare managerial reports based on the results of their analyses.
●Examples and Exercises Based on Real Data. In this edition, we have added headers to all Applications exercises to make the application of each problem more obvious. We continue to make a substantial effort to update our text examples and exercises with the most current real data and referenced sources of statistical information. We have added more than 160 new examples and exercises based on real data and referenced sources. Using data from sources also used by The Wall Street Journal, USA Today, The Financial Times, and others, we have drawn from actual studies and applications to develop explanations and create exercises that demonstrate the many uses of statistics in business and economics. We believe that the use of real data from interesting and relevant problems helps generate more student interest in the material and enables the student to learn about both statistical methodology and its application. The 14th edition contains more than 350 examples and exercises based on real data.
目次
1.Data and Statistics.
2.Descriptive Statistics: Tabular and Graphical Displays.
3.Descriptive Statistics: Numerical Measures.
4.Introduction to Probability.
5.Discrete Probability Distributions.
6.Continuous Probability Distributions.
7.Sampling and Sampling Distributions.
8.Interval Estimation.
9.Hypothesis Tests.
10.Inference about Means and Proportions with Two Populations.
11.Inferences about Population Variances.
12.Comparing Multiple Proportions, Test of Independence and Goodness of Fit.
13.Experimental Design and Analysis of Variance.
14.Simple Linear Regression.
15.Multiple Regression.
16.Regression Analysis: Model Building.
17.Time Series Analysis and Forecasting.
18.Nonparametric Methods.
19.Decision Analysis
20.Index Numbers.
21.Statistical Methods for Quality Control.
22.Sample Survey (MindTap Reader).
Appendix A.References and Bibliography.
Appendix B.Tables.
Appendix C.Summation Notation.
Appendix D.Answers to Even–Numbered Exercises (MindTap Reader).
Appendix E.Microsoft Excel 2016 and Tools for Statistical Analysis.
Appendix F.Computing p-Values Using JMP and Excel.
2.Descriptive Statistics: Tabular and Graphical Displays.
3.Descriptive Statistics: Numerical Measures.
4.Introduction to Probability.
5.Discrete Probability Distributions.
6.Continuous Probability Distributions.
7.Sampling and Sampling Distributions.
8.Interval Estimation.
9.Hypothesis Tests.
10.Inference about Means and Proportions with Two Populations.
11.Inferences about Population Variances.
12.Comparing Multiple Proportions, Test of Independence and Goodness of Fit.
13.Experimental Design and Analysis of Variance.
14.Simple Linear Regression.
15.Multiple Regression.
16.Regression Analysis: Model Building.
17.Time Series Analysis and Forecasting.
18.Nonparametric Methods.
19.Decision Analysis
20.Index Numbers.
21.Statistical Methods for Quality Control.
22.Sample Survey (MindTap Reader).
Appendix A.References and Bibliography.
Appendix B.Tables.
Appendix C.Summation Notation.
Appendix D.Answers to Even–Numbered Exercises (MindTap Reader).
Appendix E.Microsoft Excel 2016 and Tools for Statistical Analysis.
Appendix F.Computing p-Values Using JMP and Excel.
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