Includes index.

1. Introduction. Why a Manager Needs to Know About Statistics. The Growth and Development of Modern Statistics. Statistical Thinking and Modern Management. Descriptive versus Inferential Statistics. Appendices. Basics of the Windows User Interface. Introduction to Microsoft Excel. Introduction to Minitab. 2. Data Collection. Introduction. Why Do We Need Data? Sources of Data. Types of Data. Design of Survey Research. Types of Sampling Methods. Evaluating Survey Worthiness. Summary. Appendices. Using Microsoft Excel to Select a Random Sample. Using Minitab to Select a Random Sample. 3. Presenting Data in Tables and Charts. Introduction. Organizing Numerical Data. Tables and Charts for Numerical Data. Graphing Bivariate Numerical Data. Tables and Charts for Categorical Data. Tabulating and Graphing Bivariate Categorical Data. Graphical Excellence. Summary. The Springville Herald Case. Appendices. Using Microsoft Excel for Tables and Charts. Using Minitab for Tables and Charts. 4. Summarizing and Describing Numerical Data. Introduction. Exploring Numerical Data and Their Properties. Measures of Central Tendency, Variation, and Shape. Exploratory Data Analysis. Obtaining Descriptive Summary Measures from a Population. Obtaining Descriptive Summary Measures from a Population. Recognizing and Practicing Proper Descriptive Summarization and Exploring Ethical Issues. Summary. The Springville Herald Case. Appendices. Using Microsoft Excel for Descriptive Statistics. Using Minitab for Descriptive Statistics. 5. Basic Probability. Introduction. Basic Probability Concepts. Conditional Probability. Bayes' Theorem. Ethical Issues and Probability. Summary. 6. Some Important Discrete Probability Distributions. Introduction. The Probability Distribution for a Discrete Random Variable. Binomial Distribution. Poisson Distribution. Hypergeometric Distribution (Optional Topic). Covariance and Its Application in Finance (Optional

For a one- or two-term course in Business Statistics at the undergraduate or graduate level. This comprehensive 19-chapter business statistics text provides sufficient breadth of coverage and an applied approach which focuses on concepts and applications of statistics to the functional areas of business-accounting, marketing, management, and economics and finance. Thoroughly revised to shift its emphasis more on concepts than statistical methods, it shows students how to properly use statistics to analyze data, demonstrates how computer software is an integral part of this analysis, and provides myriad cases and projects support the learning process.