Connect 1-Semester Access Card for Essentials of Business Statistics / Edition 5

Connect 1-Semester Access Card for Essentials of Business Statistics / Edition 5

ISBN-10:
0077641183
ISBN-13:
9780077641184
Pub. Date:
01/30/2014
Publisher:
McGraw Hill LLC
Connect 1-Semester Access Card for Essentials of Business Statistics / Edition 5

Connect 1-Semester Access Card for Essentials of Business Statistics / Edition 5

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Overview

McGraw-Hill Connect® is a subscription-based learning service accessible online through your personal computer or tablet. Choose this option if your instructor will require Connect to be used in the course. Your subscription to Connect includes the following:

• SmartBook® - an adaptive digital version of the course textbook that personalizes your reading experience based on how well you are learning the content.
• Access to your instructor’s homework assignments, quizzes, syllabus, notes, reminders, and other important files for the course.
• Progress dashboards that quickly show how you are performing on your assignments and tips for improvement.
• The option to purchase (for a small fee) a print version of the book. This binder-ready, loose-leaf version includes free shipping.

Complete system requirements to use Connect can be found here: http://www.mheducation.com/highered/platforms/connect/training-support-students.html


Product Details

ISBN-13: 9780077641184
Publisher: McGraw Hill LLC
Publication date: 01/30/2014
Edition description: 5th ed.
Product dimensions: 5.50(w) x 8.50(h) x 0.01(d)
Age Range: 18 Years

About the Author

James Burdeane “Deane” OrrisJ.B. Orris is a professor of management science at Butler University in Indianapolis, Indiana. He received his Ph.D. from the University of Illinois in 1971, and in the late 1970s with the advent of personal computers, he combined his interest in statistics and computers to write one of the first personal computer statistics packages—MICROSTAT. Over the past 20 years, MICROSTAT has evolved into MegaStat, which is an Excel add-in statistics program. In 1999 he wrote an Excel book (Essentials: Excel 2000 Advanced) and has done work in neural networks, spreadsheet simulation, and statistical analysis for many research projects. He has taught statistics and computer courses in the College of Business Administration of Butler University since 1971. He is a member of the American Statistical Association and is past president of the Central Indiana Chapter. In his spare time, Professor Orris enjoys reading, working out, and working in his woodworking shop.

Richard T. O’Connell is associate professor of decision sciences at Miami University in Oxford, Ohio. He has more than 35 years of experience teaching basic statistics, statistical quality control and process improvement, regression analysis, time series forecasting, and design of experiments to both undergraduate and graduate business students. He also has extensive consulting experience and has taught workshops dealing with statistical process control and process improvement for a variety of companies in the Midwest. In 2000, Professor O’Connell received an Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Bruce L. Bowerman, he has written 16 textbooks. These include Forecasting and Time Series: An Applied Approach; Forecasting, Time Series, and Regression: An Applied Approach (also coauthored with Anne B. Koehler); and Linear Statistical Models: An Applied Approach. Professor O’Connell has published a number of articles in the area of innovative statistical education. He is one of the first college instructors in the United States to integrate statistical process control and process improvement methodology into his basic business statistics course. He (with Professor Bowerman) has written several articles advocating this approach. He has also given presentations on this subject at meetings such as the Joint Statistical Meetings of the American Statistical Association and the Workshop on Total Quality Management: Developing Curricula and Research Agendas (sponsored by the Production and Operations Management Society). Professor O’Connell received an M.S. degree in Decision Sciences from Northwestern University in 1973, and he is currently a member of both the Decision Sciences Institute and the American Statistical Association. In his spare time, Professor O’Connell enjoys fishing, collecting 1950s’ and 1960s’ rock music, and following the Green Bay Packers and Purdue University sports.

Bruce L. Bowerman is professor of decision sciences at Miami University in Oxford, Ohio. He received his Ph.D. degree in statistics from Iowa State University in 1974, and he has over 40 years of experience teaching basic statistics, regression analysis, time series forecasting, survey sampling, and design of experiments to both undergraduate and graduate students. In 1987, Professor Bowerman received an Outstanding Teaching award from the Miami University senior class, and in 1992 he received an Effective Educator award from the Richard T. Farmer School of Business Administration. Together with Richard T. O’Connell, Professor Bowerman has written 16 textbooks. These include Forecasting and Time Series: An Applied Approach; Forecasting, Time Series, and Regression: An Applied Approach (also coauthored with Anne B. Koehler); and Linear Statistical Models: An Applied Approach. The fi rst edition of Forecasting and Time Series earned an Outstanding Academic Book award from Choice magazine. Professor Bowerman has also published a number of articles in applied stochastic processes, time series forecasting, and statistical education. In his spare time, Professor Bowerman enjoys watching movies and sports, playing tennis, and designing houses.

Table of Contents

Chapter 1 An Introduction to Business Statistics

Chapter 2 Descriptive Statistics: Tabular and Graphical Methods

Chapter 3 Descriptive Statistics: Numerical Methods

Chapter 4 Probability

Chapter 5 Discrete Random Variables

Chapter 6 Continuous Random Variables

Chapter 7 Sampling and Sampling Distributions

Chapter 8 Confidence Intervals

Chapter 9 Hypothesis Testing

Chapter 10 Statistical Inferences Based on Two Samples

Chapter 11 Experimental Design and Analysis of Variance

Chapter 12 Chi-Square Tests

Chapter 13 Simple Linear Regression Analysis

Chapter 14 Multiple Regression and Model Building

Appendix A Statistical Tables

Answers to Most Odd-Numbered Exercises

Preferences

Photo Credits

Index

Chapter 15 Process Improvement Using Control Charts

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