1.The Where, Why, and How of Data Collection 2. Graphs, Charts, and Tables–Describing Your Data 3. Describing Data Using Numerical Measures 4. Introduction to Probability 5. Discrete Probability Distributions 6. Introduction to Continuous Probability Distributions 7. Introduction to Sampling Distributions 8. Estimating Single Population Parameters 9. Introduction to Hypothesis Testing 10. Estimation and Hypothesis Testing for Two Population Parameters 11. Hypothesis Tests and Estimation for Population Variances 12. Analysis of Variance 13. Goodness-of-Fit Tests and Contingency Analysis 14. Introduction to Linear Regression and Correlation Analysis 15. Multiple Regression Analysis and Model Building 16. Analyzing and Forecasting Time-Series Data 17. Introduction to Nonparametric Statistics 18. Introducing Business Analytics |