
Basic Statistics for Business and Economics
8th EditionISBN10: 0073521477
ISBN13: 9780073521473
Copyright: 2013
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The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.
Program Details
1. What is Statistics?
2. Describing Data: Frequency Tables, Frequency Distributions and Graphic Presentations
3. Describing Data: Numerical Measures
4. Describing Data: Displaying and Exploring Data
5. A Survey of Probability Concepts
6. Discrete Probability Distributions
7. Continuous Probability Distributions
8. Sampling Methods and the Central Limit Theorem
9. Estimation and Confidence Intervals
10. One-Sample Tests of Hypothesis
11.Two Samples Tests of Hypothesis
12. Analysis of Variance
13. Correlation and Linear Regression
14. Multiple Regression and Correlation Analysis
15. Nonparametric Methods: Goodness-of-Fit Tests
Appendices: Data Sets, Tables, Answers
Answers to Odd-Numbered Chapter Exercises and Chapter Tests
Index
3. Describing Data: Numerical Measures
4. Describing Data: Displaying and Exploring Data
5. A Survey of Probability Concepts
6. Discrete Probability Distributions
7. Continuous Probability Distributions
8. Sampling Methods and the Central Limit Theorem
9. Estimation and Confidence Intervals
10. One-Sample Tests of Hypothesis
11.Two Samples Tests of Hypothesis
12. Analysis of Variance
13. Correlation and Linear Regression
14. Multiple Regression and Correlation Analysis
15. Nonparametric Methods: Goodness-of-Fit Tests
Appendices: Data Sets, Tables, Answers
Answers to Odd-Numbered Chapter Exercises and Chapter Tests
Index
5. A Survey of Probability Concepts
6. Discrete Probability Distributions
7. Continuous Probability Distributions
8. Sampling Methods and the Central Limit Theorem
9. Estimation and Confidence Intervals
10. One-Sample Tests of Hypothesis
11.Two Samples Tests of Hypothesis
12. Analysis of Variance
13. Correlation and Linear Regression
14. Multiple Regression and Correlation Analysis
15. Nonparametric Methods: Goodness-of-Fit Tests
Appendices: Data Sets, Tables, Answers
Answers to Odd-Numbered Chapter Exercises and Chapter Tests
Index
7. Continuous Probability Distributions
8. Sampling Methods and the Central Limit Theorem
9. Estimation and Confidence Intervals
10. One-Sample Tests of Hypothesis
11.Two Samples Tests of Hypothesis
12. Analysis of Variance
13. Correlation and Linear Regression
14. Multiple Regression and Correlation Analysis
15. Nonparametric Methods: Goodness-of-Fit Tests
Appendices: Data Sets, Tables, Answers
Answers to Odd-Numbered Chapter Exercises and Chapter Tests
Index
9. Estimation and Confidence Intervals
10. One-Sample Tests of Hypothesis
11.Two Samples Tests of Hypothesis
12. Analysis of Variance
13. Correlation and Linear Regression
14. Multiple Regression and Correlation Analysis
15. Nonparametric Methods: Goodness-of-Fit Tests
Appendices: Data Sets, Tables, Answers
Answers to Odd-Numbered Chapter Exercises and Chapter Tests
Index
11.Two Samples Tests of Hypothesis
12. Analysis of Variance
13. Correlation and Linear Regression
14. Multiple Regression and Correlation Analysis
15. Nonparametric Methods: Goodness-of-Fit Tests
Appendices: Data Sets, Tables, Answers
Answers to Odd-Numbered Chapter Exercises and Chapter Tests
Index
13. Correlation and Linear Regression
14. Multiple Regression and Correlation Analysis
15. Nonparametric Methods: Goodness-of-Fit Tests
Appendices: Data Sets, Tables, Answers
Answers to Odd-Numbered Chapter Exercises and Chapter Tests
Index
15. Nonparametric Methods: Goodness-of-Fit Tests
Appendices: Data Sets, Tables, Answers
Answers to Odd-Numbered Chapter Exercises and Chapter Tests
Index
Answers to Odd-Numbered Chapter Exercises and Chapter Tests
Index
About the Author
Douglas Lind
Douglas A. Lind earned his B.S. in Business from Bowling Green State University, and his Ph.D. and M.B.A. from the University of Toledo. He is Emeritus Professor at Coastal Carolina University and the University of Toledo. Dr. Lind is a co-author of Statistical Techniques in Business and Economics with the late Robert D. Mason and William G. Marchal. He has more than 38 years of college teaching experience, including teaching statistics at the introductory, intermediate, and advanced undergraduate levels, as well as graduate courses in statistics and research methods. Dr. Lind is a past recipient of the Tony DeJute Outstanding Teacher Award.
William Marchal
William G. Marchal earned his B.S. in mathematics from the University of Dayton, his M.A. in mathematics from Catholic University of America, and his D.Sc. in operations research from George Washington University. He is Emeritus Professor of Information Systems and Operations Management at the University of Toledo College of Business Administration. Dr. Marchal has held visiting appointments at the University of Michigan and at George Mason University. He has worked at the Executive Office of the District of Columbia government, the George Washington University Institute for Management Science, and the U.S. Army Chemical Research and Development Center. He has also served as an associate editor of Naval Research Logistics.
Samuel Wathen
Samuel A. Wathen earned his B.S. in forestry from the University of Illinois, an M.B.A. from Oklahoma State University, an M.S. in forest biometrics from Virginia Polytechnic Institute and State University, and his Ph.D. in business administration from the University of Minnesota. He is Distinguished Professor Emeritus of Management and Decision Sciences in the E. Craig Wall Sr. College of Business Administration at Coastal Carolina University. Dr. Wathen's research interests include applied statistics, teaching methods, and manufacturing and service process design. Most recently, he published the article “Using Real‐Life Major League Baseball Data in an Introductory Statistics Course” in the Decision Sciences Journal of Innovative Education.
1. What is Statistics?
2. Describing Data: Frequency Tables, Frequency Distributions and Graphic Presentations
3. Describing Data: Numerical Measures
4. Describing Data: Displaying and Exploring Data
5. A Survey of Probability Concepts
6. Discrete Probability Distributions
7. Continuous Probability Distributions
8. Sampling Methods and the Central Limit Theorem
9. Estimation and Confidence Intervals
10. One-Sample Tests of Hypothesis
11.Two Samples Tests of Hypothesis
12. Analysis of Variance
13. Correlation and Linear Regression
14. Multiple Regression and Correlation Analysis
15. Nonparametric Methods: Goodness-of-Fit Tests
Appendices: Data Sets, Tables, Answers
Answers to Odd-Numbered Chapter Exercises and Chapter Tests
Index
3. Describing Data: Numerical Measures
4. Describing Data: Displaying and Exploring Data
5. A Survey of Probability Concepts
6. Discrete Probability Distributions
7. Continuous Probability Distributions
8. Sampling Methods and the Central Limit Theorem
9. Estimation and Confidence Intervals
10. One-Sample Tests of Hypothesis
11.Two Samples Tests of Hypothesis
12. Analysis of Variance
13. Correlation and Linear Regression
14. Multiple Regression and Correlation Analysis
15. Nonparametric Methods: Goodness-of-Fit Tests
Appendices: Data Sets, Tables, Answers
Answers to Odd-Numbered Chapter Exercises and Chapter Tests
Index
5. A Survey of Probability Concepts
6. Discrete Probability Distributions
7. Continuous Probability Distributions
8. Sampling Methods and the Central Limit Theorem
9. Estimation and Confidence Intervals
10. One-Sample Tests of Hypothesis
11.Two Samples Tests of Hypothesis
12. Analysis of Variance
13. Correlation and Linear Regression
14. Multiple Regression and Correlation Analysis
15. Nonparametric Methods: Goodness-of-Fit Tests
Appendices: Data Sets, Tables, Answers
Answers to Odd-Numbered Chapter Exercises and Chapter Tests
Index
7. Continuous Probability Distributions
8. Sampling Methods and the Central Limit Theorem
9. Estimation and Confidence Intervals
10. One-Sample Tests of Hypothesis
11.Two Samples Tests of Hypothesis
12. Analysis of Variance
13. Correlation and Linear Regression
14. Multiple Regression and Correlation Analysis
15. Nonparametric Methods: Goodness-of-Fit Tests
Appendices: Data Sets, Tables, Answers
Answers to Odd-Numbered Chapter Exercises and Chapter Tests
Index
9. Estimation and Confidence Intervals
10. One-Sample Tests of Hypothesis
11.Two Samples Tests of Hypothesis
12. Analysis of Variance
13. Correlation and Linear Regression
14. Multiple Regression and Correlation Analysis
15. Nonparametric Methods: Goodness-of-Fit Tests
Appendices: Data Sets, Tables, Answers
Answers to Odd-Numbered Chapter Exercises and Chapter Tests
Index
11.Two Samples Tests of Hypothesis
12. Analysis of Variance
13. Correlation and Linear Regression
14. Multiple Regression and Correlation Analysis
15. Nonparametric Methods: Goodness-of-Fit Tests
Appendices: Data Sets, Tables, Answers
Answers to Odd-Numbered Chapter Exercises and Chapter Tests
Index
13. Correlation and Linear Regression
14. Multiple Regression and Correlation Analysis
15. Nonparametric Methods: Goodness-of-Fit Tests
Appendices: Data Sets, Tables, Answers
Answers to Odd-Numbered Chapter Exercises and Chapter Tests
Index
15. Nonparametric Methods: Goodness-of-Fit Tests
Appendices: Data Sets, Tables, Answers
Answers to Odd-Numbered Chapter Exercises and Chapter Tests
Index
Answers to Odd-Numbered Chapter Exercises and Chapter Tests
Index
About the Author
Douglas Lind
Douglas A. Lind earned his B.S. in Business from Bowling Green State University, and his Ph.D. and M.B.A. from the University of Toledo. He is Emeritus Professor at Coastal Carolina University and the University of Toledo. Dr. Lind is a co-author of Statistical Techniques in Business and Economics with the late Robert D. Mason and William G. Marchal. He has more than 38 years of college teaching experience, including teaching statistics at the introductory, intermediate, and advanced undergraduate levels, as well as graduate courses in statistics and research methods. Dr. Lind is a past recipient of the Tony DeJute Outstanding Teacher Award.
William Marchal
William G. Marchal earned his B.S. in mathematics from the University of Dayton, his M.A. in mathematics from Catholic University of America, and his D.Sc. in operations research from George Washington University. He is Emeritus Professor of Information Systems and Operations Management at the University of Toledo College of Business Administration. Dr. Marchal has held visiting appointments at the University of Michigan and at George Mason University. He has worked at the Executive Office of the District of Columbia government, the George Washington University Institute for Management Science, and the U.S. Army Chemical Research and Development Center. He has also served as an associate editor of Naval Research Logistics.
Samuel Wathen
Samuel A. Wathen earned his B.S. in forestry from the University of Illinois, an M.B.A. from Oklahoma State University, an M.S. in forest biometrics from Virginia Polytechnic Institute and State University, and his Ph.D. in business administration from the University of Minnesota. He is Distinguished Professor Emeritus of Management and Decision Sciences in the E. Craig Wall Sr. College of Business Administration at Coastal Carolina University. Dr. Wathen's research interests include applied statistics, teaching methods, and manufacturing and service process design. Most recently, he published the article “Using Real‐Life Major League Baseball Data in an Introductory Statistics Course” in the Decision Sciences Journal of Innovative Education.
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