Table of Contents

Practical Business Statistics 5e by Andrew Siegel

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 the 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 Factor Form 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