Provides a unique, innovative, and engaging learning experience for students studying Business Statistics. It is an intellectually stimulating, practical, and visually attractive textbook, from which students can learn and instructors can teach. Throughout the book, the authors have presented the material in an accessible way by using timely business applications to which students can relate. Although the text is application-oriented, it is also mathematically sound and uses notation that is generally accepted for the topic being covered.
PART I: INTRODUCTION
Ch 1 Statistics and Data
PART II: DESCRIPTIVE STATISTICS
Ch 2 Tabular and Graphical Methods
Ch 3 Numerical Descriptive Measures
PART III: PROBABILITY AND PROBABILITY DISTRIBUTIONS
Ch 4 Introduction to Probability
Ch 5 Discrete Probability Distributions
Ch 6 Continuous Probability Distributions
PART IV: BASIC INFERENCE
Ch 7 Sampling and Sampling Distributions
Ch 8 Interval Estimation
Ch 9 Hypothesis Testing
Ch10 Statistical Inference Concerning Two Populations
Ch11 Statistical Inference Concerning Variance
Ch12 Chi-Square Tests
PART V: ADVANCED INFERENCE
Ch13 Analysis of Variance
Ch14 Regression Analysis
Ch15 Inference with Regression Models
Ch16 Regression Models for Nonlinear Relationships
Ch17 Regression Models with Dummy Variables
Part VI: SUPPLEMENTARY TOPICS
Ch18 Time Series and Forecasting
Ch19 Returns, Index Numbers and Inflation
Ch20 Nonparametric Tests
Appendixes
作者：Sanjiv Jaggia
現職：California Polytechnic State University
作者：Alison Kelly
現職：Suffolk University