Business Statistics strengthens the connection between the study of business statistics and the study of business analytics. The authors believe that the 4th edition will not only prepare students in basic statistics but will also get them ready and excited about further exploration of data analytics.
PART ONE: Introduction
CHAPTER 1: Data and Data Preparation
PART TWO: Descriptive Statistics
CHAPTER 2: Tabular and Graphical Methods
CHAPER 3: Numerical Descriptive Measures
PART THREE: Probability and Probability Distributions
CHAPTER 4: Introduction to Probability
CHAPTER 5: Discrete Probability Distributions
CHAPTER 6: Continuous Probability Distributions
PART FOUR: Basic Inference
CHAPTER 7: Sampling and Sampling Distributions
CHAPTER 8: Interval Estimation
CHAPTER 9: Hypothesis Testing
CHAPTER 10: Statistical Inference Concerning Two Populations
CHAPTER 11: Statistical Inference Concerning Variance
CHAPTER 12: Chi-Square Tests
PART FIVE: Advanced Inference
CHAPTER 13: Analysis of Variance
CHAPTER 14: Regression Analysis
CHAPTER 15: Inference with Regression Models
CHAPTER 16: Regression Models for Nonlinear Relationships
CHAPTER 17: Regression Models with Dummy Variables
PART SIX: Supplementary Topics
CHAPTER 18: Forecasting with Time Series Data
CHAPTER 19: Returns, Index Numbers, and Inflation
CHAPTER 20: Nonparametric Tests
APPENDIX A: Getting Started with R
APPENDIX B: Tables
APPENDIX C: Answers to Selected Even-Numbered Exercises
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