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Full Description
For one- or-two-semester courses in business statistics.
Give students the statistical foundation to hone their analysis skills for real-world decisions
Basic Business Statistics helps students see the essential role that statistics will play in their future careers by using examples drawn from all functional areas of real-world business. Guided by principles set forth by ASA's Guidelines for Assessment and Instruction (GAISE) reports and the authors' diverse teaching experiences, the text continues to innovate and improve the way this course is taught to students. The 14th Edition includes new and updated resources and tools to enhance students' understanding, and provides the best framework for learning statistical concepts.
Also available with MyLab Business Statistics
By combining trusted authors' content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student.
Note: You are purchasing a standalone product; MyLab Business Statistics does not come packaged with this content. Students, if interested in purchasing this title with MyLab, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.
If you would like to purchase both the physical text and MyLab Business Statistics, search for:
0135168465/ 9780135168462 Basic Business Statistics Plus MyLab Business Statistics with Pearson eText -- Access Card Package, 14/e
Package consists of:
0134684842 / 9780134684840 Basic Business Statistics, 14/e
0134780604 / 9780134780603 MyLab Business Statistics with Pearson eText -- Access Card
Contents
First Things First (online)
Defining and Collecting Data
Organizing and Visualizing Variables
Numerical Descriptive Measures
Basic Probability
Discrete Probability Distributions
The Normal Distribution and Other Continuous Distributions
Sampling Distributions
Confidence Interval Estimation
Fundamentals of Hypothesis Testing: One-Sample Tests
Two-Sample Tests
Analysis of Variance
Chi-Square and Nonparametric Tests
Simple Linear Regression
Introduction to Multiple Regression
Multiple Regression Model Building
Time-Series Forecasting
Business Analytics
Getting Ready to Analyze Data in the Future
Statistical Applications in Quality Management (online)
Decision Making (online)



