Statistics, Data Analysis & Decision Modeling
International Edition
4th Edition
Published on 25. June 2009
Book
Mixed media product
592 pages
978-0-13-701903-8 (ISBN)
Description
A pragmatic approach to statistics, data analysis and decision modeling.
Statistics, Data Analysis & Decision Modeling focuses on the practical understanding of its topics, allowing readers to develop conceptual insight on fundamental techniques and theories. Evans' dedication to present material in a simple and straightforward fashion is ideal for comprehension.
The latest edition of this text has been substantially re-written to improve clarity and make topics more up-to-date and practical.
Statistics, Data Analysis & Decision Modeling focuses on the practical understanding of its topics, allowing readers to develop conceptual insight on fundamental techniques and theories. Evans' dedication to present material in a simple and straightforward fashion is ideal for comprehension.
The latest edition of this text has been substantially re-written to improve clarity and make topics more up-to-date and practical.
More details
Edition
4th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 204 mm
Width: 252 mm
Thickness: 21 mm
Weight
1056 gr
ISBN-13
978-0-13-701903-8 (9780137019038)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Book
04/2012
5th Edition
Pearson Education Limited
€94.49
Shipment within 10-20 days
Content
1. Data and Business Decisions
2. Displaying and Summarizing Data
3. Probability Distributions
4. Sampling and Estimation
5. Hypothesis Testing and Statistical Inference
6. Regression Analysis
7. Forecasting
8. Statistical Quality Control
9. Building and Using Spreadsheet Decision Models
10. Risk Analysis and Monte Carlo Simulation
11. Making decisions under risk and uncertainty
12. Queues and Process Simulation Modeling
13. Linear Optimization
14. Integer and Nonlinear Optimization
2. Displaying and Summarizing Data
3. Probability Distributions
4. Sampling and Estimation
5. Hypothesis Testing and Statistical Inference
6. Regression Analysis
7. Forecasting
8. Statistical Quality Control
9. Building and Using Spreadsheet Decision Models
10. Risk Analysis and Monte Carlo Simulation
11. Making decisions under risk and uncertainty
12. Queues and Process Simulation Modeling
13. Linear Optimization
14. Integer and Nonlinear Optimization