Managerial statistics : abbreviated.

By: Keller, GeraldMaterial type: TextTextPublication details: Mason : Cengage Learning [distributor], 2009Edition: 8th Edition - International Student EditionDescription: 714 p. Ill. ; CD RomISBN: 9780324594331 ; 032459433XSubject(s): Statistics | Management -- Statistical methods | Economics -- Statistical methodsDDC classification: 519.5
Contents:
1. What Is Statistics? PART 1: DESCRIPTIVE TECHNIQUES. 2. Graphical and Tabular Descriptive Techniques. 3. Art and Science of Graphical Presentations. 4. Numerical Descriptive Techniques. 5. Data Collection and Sampling. PART 2: PROBABILITY. 6. Probability. 7. Random Variables and Discrete Probability Distributions. 8. Continuous Probability Distributions. 9. Sampling Distributions. PART 3: INTRODUCTION TO STATISTICAL INFERENCE. 10. Introduction to Estimation. 11. Introduction to Hypothesis Testing. PART 4: STATISTICAL INFERENCE: ONE AND TWO POPULATIONS. 12. Inference about One Population. 13. Inference about Two Populations. PART 5: STATISTICAL INFERENCE: ANALYSIS OF VARIANCE AND CHI-SQUARED TESTS. 14. Analysis of Variance. 15. Chi-Squared Tests. PART 6: REGRESSION. 16. Simple Linear Regression and Correlation. 17. Multiple Regression. Appendix A: Data File Sample Statistics. Appendix B: Tables. Appendix C: Answers to Selected Even-Numbered Exercises. Index.
Summary: Emphasizing applications over calculation, this book illustrates how vital statistical methods and tools are for managers - and teaches how to apply them to real business problems. It teaches how to identify the correct statistical technique by focusing on the problem objective and data type using a three-step ICI approach to problem solving
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Index

1. What Is Statistics? PART 1: DESCRIPTIVE TECHNIQUES. 2. Graphical and Tabular Descriptive Techniques. 3. Art and Science of Graphical Presentations. 4. Numerical Descriptive Techniques. 5. Data Collection and Sampling. PART 2: PROBABILITY. 6. Probability. 7. Random Variables and Discrete Probability Distributions. 8. Continuous Probability Distributions. 9. Sampling Distributions. PART 3: INTRODUCTION TO STATISTICAL INFERENCE. 10. Introduction to Estimation. 11. Introduction to Hypothesis Testing. PART 4: STATISTICAL INFERENCE: ONE AND TWO POPULATIONS. 12. Inference about One Population. 13. Inference about Two Populations. PART 5: STATISTICAL INFERENCE: ANALYSIS OF VARIANCE AND CHI-SQUARED TESTS. 14. Analysis of Variance. 15. Chi-Squared Tests. PART 6: REGRESSION. 16. Simple Linear Regression and Correlation. 17. Multiple Regression. Appendix A: Data File Sample Statistics. Appendix B: Tables. Appendix C: Answers to Selected Even-Numbered Exercises. Index.

Emphasizing applications over calculation, this book illustrates how vital statistical methods and tools are for managers - and teaches how to apply them to real business problems. It teaches how to identify the correct statistical technique by focusing on the problem objective and data type using a three-step ICI approach to problem solving

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