Michael C. Fleming is affiliated with Loughborough University. Joseph G. Nellis is at the Cranfield School of Management.

List of Figures in Main Text List of Tables in Main Text List of Worked Examples Preface 1. Introduction PART 1: DESCRIPTIVE STATISTICS 2. Describing Data - Tables, Charts and Graphs 3. Describing Data - Central Tendency 4. Describing Data - Variability 5. Exploratory Data Analysis PART 2: PROBABILITY AND PROBABILITY DISTRIBUTIONS 6. Probability Concepts 7. Binomial Probability Distribution 8. Poisson Probability Distribution 9. Normal Probability Distribution PART 3: STATISTICAL INFERENCE 10. Statistical Inference - An Overview 11. Sampling Distributions 12. Estimation 13. Estimation and the t Distribution 14. Hypothesis Testing: Single Population Mean 15. Hypothesis Testing: Two Population Means 16. Estimation and Hypothesis Testing: Proportions 17. Analysis of Variance (ANOVA) PART 4: RELATIONSHIPS BETWEEN VARIABLES 18. Simple Linear Regression and Correlation 19. Multiple Linear Regression and Correlation 20. Tests of Goodness-of-Fit and Independence PART 5: TIME SERIES AND INDEX NUMBERS 21. Time Series Analysis 22. Index Numbers References for Further Reading APPENDIX A: STATISTICAL TABLES APPENDIX B: DESCRIPTION OF Minitab AND ITS APPLICATION APPENDIX C: DESCRIPTION OF MICROSOFT EXCEL AND ITS APPLICATION Answers to Self-Study Exercises Glossary Index

• 1. Introduction.PART 1: DESCRIPTIVE STATISTICS.2. Describing Data - Tables, Charts and Graphs.3. Describing Data - Central Tendency.4. Describing Data - Variability.5. Exploratory Data Analysis.PART 2: PROBABILITY AND PROBABILITY DISTRIBUTIONS.6. Probability Concepts.7. Binomial Probability Distribution.8. Poisson Probability Distribution.9. Normal Probability Distribution.PART 3: STATISTICAL INFERENCE.10. Statistical Inference - An Overview.11. Sampling Distributions.12. Estimation.13. Estimation and the t Distribution.14. Hypothesis Testing: Single Population Mean.15. Hypothesis Testing: Two Population Means.16. Estimation and Hypothesis Testing: Proportions.17. Analysis of Variance (ANOVA).PART 4: RELATIONSHIPS BETWEEN VARIABLES.18. Simple Linear Regression and Correlation.19. Multiple Linear Regression and Correlation.20. Tests of Goodness-of-Fit and Independence.PART 5: TIME SERIES AND INDEX NUMBERS.21. Time Series Analysis.22. Index Numbers.References for Further Reading.APPENDIX A: STATISTICAL TABLES.APPENDIX B: DESCRIPTION OF Minitabª AND ITS APPLICATION.APPENDIX C: DESCRIPTION OF MICROSOFT EXCEL AND ITS APPLICATION.Answers to Self-Study Exercises.Glossary.Index.

Michael C. Fleming is affiliated with Loughborough University. Joseph G. Nellis is at the Cranfield School of Management.

List of Figures in Main Text List of Tables in Main Text List of Worked Examples Preface 1. Introduction PART 1: DESCRIPTIVE STATISTICS 2. Describing Data - Tables, Charts and Graphs 3. Describing Data - Central Tendency 4. Describing Data - Variability 5. Exploratory Data Analysis PART 2: PROBABILITY AND PROBABILITY DISTRIBUTIONS 6. Probability Concepts 7. Binomial Probability Distribution 8. Poisson Probability Distribution 9. Normal Probability Distribution PART 3: STATISTICAL INFERENCE 10. Statistical Inference - An Overview 11. Sampling Distributions 12. Estimation 13. Estimation and the t Distribution 14. Hypothesis Testing: Single Population Mean 15. Hypothesis Testing: Two Population Means 16. Estimation and Hypothesis Testing: Proportions 17. Analysis of Variance (ANOVA) PART 4: RELATIONSHIPS BETWEEN VARIABLES 18. Simple Linear Regression and Correlation 19. Multiple Linear Regression and Correlation 20. Tests of Goodness-of-Fit and Independence PART 5: TIME SERIES AND INDEX NUMBERS 21. Time Series Analysis 22. Index Numbers References for Further Reading APPENDIX A: STATISTICAL TABLES APPENDIX B: DESCRIPTION OF Minitab AND ITS APPLICATION APPENDIX C: DESCRIPTION OF MICROSOFT EXCEL AND ITS APPLICATION Answers to Self-Study Exercises Glossary Index

• 1. Introduction.PART 1: DESCRIPTIVE STATISTICS.2. Describing Data - Tables, Charts and Graphs.3. Describing Data - Central Tendency.4. Describing Data - Variability.5. Exploratory Data Analysis.PART 2: PROBABILITY AND PROBABILITY DISTRIBUTIONS.6. Probability Concepts.7. Binomial Probability Distribution.8. Poisson Probability Distribution.9. Normal Probability Distribution.PART 3: STATISTICAL INFERENCE.10. Statistical Inference - An Overview.11. Sampling Distributions.12. Estimation.13. Estimation and the t Distribution.14. Hypothesis Testing: Single Population Mean.15. Hypothesis Testing: Two Population Means.16. Estimation and Hypothesis Testing: Proportions.17. Analysis of Variance (ANOVA).PART 4: RELATIONSHIPS BETWEEN VARIABLES.18. Simple Linear Regression and Correlation.19. Multiple Linear Regression and Correlation.20. Tests of Goodness-of-Fit and Independence.PART 5: TIME SERIES AND INDEX NUMBERS.21. Time Series Analysis.22. Index Numbers.References for Further Reading.APPENDIX A: STATISTICAL TABLES.APPENDIX B: DESCRIPTION OF Minitabª AND ITS APPLICATION.APPENDIX C: DESCRIPTION OF MICROSOFT EXCEL AND ITS APPLICATION.Answers to Self-Study Exercises.Glossary.Index.

Michael C. Fleming is affiliated with Loughborough University. Joseph G. Nellis is at the Cranfield School of Management.

List of Figures in Main Text List of Tables in Main Text List of Worked Examples Preface 1. Introduction PART 1: DESCRIPTIVE STATISTICS 2. Describing Data - Tables, Charts and Graphs 3. Describing Data - Central Tendency 4. Describing Data - Variability 5. Exploratory Data Analysis PART 2: PROBABILITY AND PROBABILITY DISTRIBUTIONS 6. Probability Concepts 7. Binomial Probability Distribution 8. Poisson Probability Distribution 9. Normal Probability Distribution PART 3: STATISTICAL INFERENCE 10. Statistical Inference - An Overview 11. Sampling Distributions 12. Estimation 13. Estimation and the t Distribution 14. Hypothesis Testing: Single Population Mean 15. Hypothesis Testing: Two Population Means 16. Estimation and Hypothesis Testing: Proportions 17. Analysis of Variance (ANOVA) PART 4: RELATIONSHIPS BETWEEN VARIABLES 18. Simple Linear Regression and Correlation 19. Multiple Linear Regression and Correlation 20. Tests of Goodness-of-Fit and Independence PART 5: TIME SERIES AND INDEX NUMBERS 21. Time Series Analysis 22. Index Numbers References for Further Reading APPENDIX A: STATISTICAL TABLES APPENDIX B: DESCRIPTION OF Minitab AND ITS APPLICATION APPENDIX C: DESCRIPTION OF MICROSOFT EXCEL AND ITS APPLICATION Answers to Self-Study Exercises Glossary Index

• 1. Introduction.PART 1: DESCRIPTIVE STATISTICS.2. Describing Data - Tables, Charts and Graphs.3. Describing Data - Central Tendency.4. Describing Data - Variability.5. Exploratory Data Analysis.PART 2: PROBABILITY AND PROBABILITY DISTRIBUTIONS.6. Probability Concepts.7. Binomial Probability Distribution.8. Poisson Probability Distribution.9. Normal Probability Distribution.PART 3: STATISTICAL INFERENCE.10. Statistical Inference - An Overview.11. Sampling Distributions.12. Estimation.13. Estimation and the t Distribution.14. Hypothesis Testing: Single Population Mean.15. Hypothesis Testing: Two Population Means.16. Estimation and Hypothesis Testing: Proportions.17. Analysis of Variance (ANOVA).PART 4: RELATIONSHIPS BETWEEN VARIABLES.18. Simple Linear Regression and Correlation.19. Multiple Linear Regression and Correlation.20. Tests of Goodness-of-Fit and Independence.PART 5: TIME SERIES AND INDEX NUMBERS.21. Time Series Analysis.22. Index Numbers.References for Further Reading.APPENDIX A: STATISTICAL TABLES.APPENDIX B: DESCRIPTION OF Minitabª AND ITS APPLICATION.APPENDIX C: DESCRIPTION OF MICROSOFT EXCEL AND ITS APPLICATION.Answers to Self-Study Exercises.Glossary.Index.