Basic Business Statistics: Concepts and Applications, 14th edition
- Mark L. Berenson
- , David M. Levine
- , Kathryn A. Szabat
- , David F. Stephan
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The eTextbook for Basic Business Statistics: Concepts and Applications by Berenson, Levine, Szabat and Stephan helps you build a statistical foundation to hone analysis skills for real-world decisions. It shows you the essential role statistics will play in your career by using examples drawn from all functional areas of real-world business.
The 14th Edition includes new and updated resources and tools to enhance understanding, and provides the best framework for learning statistical concepts. Key features:
- A brand-new chapter on business analytics makes extensive use of JMP and Minitab to illustrate analytics for the prediction, classification, clustering, and association of data (Ch. 17).
- Updated Examples and Using Statistics business scenarios draw from all functional areas of business, helping you connect the concepts you’re learning to your future career.
- Emphasis is placed now on data analysis and the interpretation of results of a statistical method, rather than the mathematics of that method. JMP results supplement the Excel® and Minitab results from previous editions.
- New Tabular Summaries state hypothesis test and regression example results and conclusions (Ch. 9 through 15).
- A new First Things First Chapter (online only) uses real-world examples to illustrate how developments in the field have made understanding stats even more important.
- New JMP Guides and updated Excel and Minitab Guides provide detailed, hands-on instructions for using the most recent editions of these programs.
Guided by principles set forth by the ASA's Guidelines for Assessment and Instruction (GAISE) reports and the authors' diverse teaching experiences, this text continues to innovate and improve the way this course is taught.
Published by Pearson (December 11th 2020) - Copyright © 2019
ISBN-13: 9780137400119
Subject: Advanced Statistics
Category: Introduction to Business Statistics
- 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)
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