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