Essential Statistics for Economics, Business and Management
eBook - PDF

Essential Statistics for Economics, Business and Management

  1. 688 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Essential Statistics for Economics, Business and Management

About this book

Highly relevant for the statistics component of courses in quantitative methods, Essential Statistics for Economics, Business and Management is aimed at introductory undergraduate courses and assumes no prior knowledge of statistics. Filling the need for an up-to-date introductory statistics textbook, the book is similar to that of the highly successful Essential Mathematics for Economics and Business by Teresa Bradley and Paul Patton, with many worked examples integrated throughout.

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Yes, you can access Essential Statistics for Economics, Business and Management by Teresa Bradley in PDF and/or ePUB format, as well as other popular books in Economics & Statistics for Business & Economics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Essential Statistics for Economics, Business and Management
  2. Contents
  3. Introduction
  4. CHAPTER 1 Data Collection and its Graphical Presentation
  5. CHAPTER 2 Descriptive Statistics
  6. CHAPTER 3 Regression and Correlation: Introduction
  7. CHAPTER 4 Probability
  8. CHAPTER 5 Introduction to Probability Distributions
  9. CHAPTER 6 Sampling Distributions for Means and Proportions
  10. CHAPTER 7 Confidence Intervals for Means and Proportions
  11. CHAPTER 8 Tests of Hypothesis for Means and Proportions
  12. CHAPTER 9 Inference from Small Samples. Confidence Intervals and Tests of Hypothesis
  13. CHAPTER 10 Analysis of Variance
  14. CHAPTER 11 Chi-squared Tests
  15. CHAPTER 12 Regression Analysis
  16. APPENDIX A: Technicalities and Conventions for Defining Class Intervals, Mid-Interval, Widths, Limits, Boundaries
  17. APPENDIX B: Formulae for Calculating the Quartiles for Grouped Data
  18. APPENDIX C: Outline of Derivation of Formulae (3.2) and (3.3) for the Slope and Intercept of the Least-Squares Line, Y = a + bX
  19. APPENDIX D: Brief Review of the Mathematics for the Binomial
  20. APPENDIX E: The Number e
  21. APPENDIX F: Calculation of Mean and Variance of Proportions by Expected Values
  22. APPENDIX G: Confidence Intervals for Means and Proportions
  23. APPENDIX H: Degrees of Freedom
  24. APPENDIX I: Notes on Summations and Double Summations
  25. APPENDIX J: Expressing the Estimates of Variance as Sums of Squares Divided by Degrees of Freedom in Their Simplest Form
  26. APPENDIX K: Sums of Squares for the One-Way ANOVA
  27. APPENDIX L: Fitted Values and Residuals
  28. APPENDIX M: Sums of Squares Identity for Two-Way ANOVA
  29. Chapter Solutions
  30. Tables
  31. Glossary
  32. Index