Statistics for Business and Economics is designed to show readers how to become producers of statistical analysis, which will help them make decisions and become better consumers of information. This text explores essential statistical techniques, including data collection, simple graphic and numeric statistical procedures, probability, hypothesis testing, and regression. The authors use real-world data throughout the book to give students a realistic appreciation of the value of data analysis in today's marketplace. Each chapter includes a summary of terms and chapter exercises that encourage students to think critically about the concepts presented in the chapter. This text is ideal for instructors looking for a simple and concise approach to teaching introductory business and economics statistics courses.

Statistics for Business and Economics is logically organized into four sections:



Part One: Descriptive Statistics
Part Two: Probability
Part Three: Hypothesis Testing
Part Four: Correlation and Regression