Basic Business Statistics, Global Edition  Mark L. Berenson, David M Levine; Kathryn A Szabat; David Stephan

By: Mark L. BerensonMaterial type: TextTextPublication details: United Kingdom ; Pearson  ; 2019 Edition: 14th edDescription: 840 pages ; 27 cmISBN: 9781292265032 DDC classification: 519.0246
Contents:
First Things First (online) 1. Defining and Collecting Data 2. Organizing and Visualizing Variables 3. Numerical Descriptive Measures 4. Basic Probability 5. Discrete Probability Distributions 6. The Normal Distribution and Other Continuous Distributions 7. Sampling Distributions 8. Confidence Interval Estimation 9. Fundamentals of Hypothesis Testing: One-Sample Tests 10. Two-Sample Tests 11. Analysis of Variance 12. Chi-Square and Nonparametric Tests 13. Simple Linear Regression 14. Introduction to Multiple Regression 15. Multiple Regression Model Building 16. Time-Series Forecasting 17. Business Analytics 18. Getting Ready to Analyze Data in the Future 19. Statistical Applications in Quality Management (online) 20. Decision Making (online)
Summary: This title 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. This edition includes new and updated resources and tools to enhance students' understanding, and provides the best framework for learning statistical concepts.
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First Things First (online) 1. Defining and Collecting Data 2. Organizing and Visualizing Variables 3. Numerical Descriptive Measures 4. Basic Probability 5. Discrete Probability Distributions 6. The Normal Distribution and Other Continuous Distributions 7. Sampling Distributions 8. Confidence Interval Estimation 9. Fundamentals of Hypothesis Testing: One-Sample Tests 10. Two-Sample Tests 11. Analysis of Variance 12. Chi-Square and Nonparametric Tests 13. Simple Linear Regression 14. Introduction to Multiple Regression 15. Multiple Regression Model Building 16. Time-Series Forecasting 17. Business Analytics 18. Getting Ready to Analyze Data in the Future 19. Statistical Applications in Quality Management (online) 20. Decision Making (online)

This title 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. This edition includes new and updated resources and tools to enhance students' understanding, and provides the best framework for learning statistical concepts.

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