Practical Business Statistics

<p>Part I: Introduction and Descriptive Statistics<br>1. Introduction: Defining the Role of Statistics in Business<br>2. Data Structures: Classifying the Various Types of Data Sets<br>3. Histograms: Looking at the Distribution of Data<br>4. Landmark Summaries: Interpreting Typical Values and Percentiles<br>5. Variability: Dealing with Diversity</p> <p>Part II: Probability<br>6. Probability: Understanding Random Situations<br>7. Random Variables: Working with Uncertain Numbers</p> <p>Part III: Statistical Inference<br>8. Random Sampling: Planning Ahead for Data Gathering<br>9. Confidence Intervals: Admitting That Estimates Are Not Exact<br>10. Hypothesis Testing: Deciding Between Reality and Coincidence</p> <p>Part IV: Regression and Time Series<br>11. Correlation and Regression: Measuring and Predicting Relationships<br>12. Multiple Regression: Predicting One Variable From Several Others<br>13. Report Writing: Communicating the Results of a Multiple Regression<br>14. Time Series: Understanding Changes Over Time</p> <p>Part V: Methods and Applications<br>15. ANOVA: Testing for Differences Among Many Samples and Much More<br>16. Recent Developments<br>17. Chi-Squared Analysis: Testing for Patterns in Qualitative Data<br>18. Quality Control: Recognizing and Managing Variation</p> <p>19. Statistical (Machine) Learning: Using Complex Models With Large Data Sets</p>