Business Statistics in Practice

1. An Introduction to Business Statistics. 2. Descriptive Statistics. 3. Probability. 4. Discrete Random Variables. 5. Continuous Random Variables. 6. Sampling Distributions. 7. Confidence Intervals. 8. Hypothesis Testing. 9. Statistical Inferences Based on Two Samples. 10. Experimental Design and Analysis of Variance. 11. Simple Linear Regression Analysis. 12. Multiple Regression. 13. Model Diagnostics and Model Building. 14. Time Series Forecasting. 15. Process Improvement Using Control Charts. 16. Nonparametric Methods. 17. Chi-Square Tests. 18. Decision Theory. Appendix A: Statistical Tables. Appendix B: Counting Rules. Appendix C: The Hypergeometric Distribution. Contents on CD-Rom: Appendix D: Properties of the Mean and the Variance of a Random Variable, and the Covariance Between Two Random Variables. Appendix E: Derivations of the Mean and the Variance of the Sample Mean and of the Mean and the Variance of the Sample Proportion. Appendix F: Cluster Sampling and Rations Estimation. Appendix G: Using Matrix Algebra to perform Regression Calculations. Appendix H: The Regression Approach to Two-Way Analysis of Variance. Appendix I: Factor Analysis, Cluster Analysis, and Multidimensional Scaling. Appendix J: The Box-Jenkins' Methodology. Appendix K: The Updating Equations for the Holt-Winters' Models. Appendix L: Individuals Charts and c Charts.