Practical Analytics for Business

Edition: 1

Copyright: 2019

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$84.48

ISBN 9781524979461

Details KHPContent 180 days

Practical Analytics for Business introduces and reinforces the concepts, methods, and applications of quantitative and statistical tools that are used by business decision makers. The text explains significant statistical concepts in relatively simple terms with an emphasis on business and economic applications. With a focus on analysis of real business datasets in the context of business-related decision making, students acquire skills in analyzing, applying, synthesizing, and evaluating statistical ideas through a hands-on approach. Practical Analytics for Business provides foundations of quantitative analyses to equip students with the necessary background to further develop their analytical skills in their business majors. Available as an interactive online course package, Practical Analytics for Business:

·         provides a “Why this is Useful” section in each chapter to explain why certain topics are important and how they can be applied to real-life.

·         features Concepts and Terminology review activities for students to test their knowledge of key terms.

·         encourages participation through interactive activities and numerous case studies.

·         includes chapter homework assignments for students to demonstrate their understanding of concepts.

Chapter 1: Introduction to Hypothesis Testing

Chapter 2: Comparing Means or Proportions for Two Populations

Chapter 3: ANOVA – Analysis of Variance

Chapter 4: Linear Regression

Chapter 5: Common Violations in Regression

Chapter 6: Nonlinear Regression

Chapter 7: Dummy Variables

Chapter 8: Time Series and Forecasting

M. Gray Hunter
John C. McClintock

Practical Analytics for Business introduces and reinforces the concepts, methods, and applications of quantitative and statistical tools that are used by business decision makers. The text explains significant statistical concepts in relatively simple terms with an emphasis on business and economic applications. With a focus on analysis of real business datasets in the context of business-related decision making, students acquire skills in analyzing, applying, synthesizing, and evaluating statistical ideas through a hands-on approach. Practical Analytics for Business provides foundations of quantitative analyses to equip students with the necessary background to further develop their analytical skills in their business majors. Available as an interactive online course package, Practical Analytics for Business:

·         provides a “Why this is Useful” section in each chapter to explain why certain topics are important and how they can be applied to real-life.

·         features Concepts and Terminology review activities for students to test their knowledge of key terms.

·         encourages participation through interactive activities and numerous case studies.

·         includes chapter homework assignments for students to demonstrate their understanding of concepts.

Chapter 1: Introduction to Hypothesis Testing

Chapter 2: Comparing Means or Proportions for Two Populations

Chapter 3: ANOVA – Analysis of Variance

Chapter 4: Linear Regression

Chapter 5: Common Violations in Regression

Chapter 6: Nonlinear Regression

Chapter 7: Dummy Variables

Chapter 8: Time Series and Forecasting

M. Gray Hunter
John C. McClintock