Statistical Techniques in Business and Economics
Published on 1. October 2001
Book
Paperback/Softback
841 pages
978-0-07-112317-4 (ISBN)
Description
Why make statistics harder than it has to be? This book is a perennial best seller owing to its comprehensive coverage of statistical tools and methods delivered in a student friendly, step-by-step format. The text is non-threatening and presents concepts clearly and succinctly with a conversational writing style. All statistical concepts are illustrated with solved examples immediately on introduction. Modern computing tools and applications are introduced, but the text maintains a focus on presenting statistics content as opposed to technology or programming methods, and this edition continues to increase emphasis on interpretation of data and results.
More details
Series
Edition
International 11 Revised ed
Language
English
Place of publication
London
United Kingdom
Publishing group
McGraw-Hill Education - Europe
Target group
College/higher education
Professional and scholarly
Illustrations
illustrations, (chiefly colour ), portraits, (some colour ) colour facsimiles
Dimensions
Height: 256 mm
Width: 205 mm
Thickness: 30 mm
Weight
1520 gr
ISBN-13
978-0-07-112317-4 (9780071123174)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Book
11/2002
11th Edition
Irwin Professional Publishing
€47.97
Article exhausted; check for reprint
Persons
Content
1. What is Statistics? 2. Describing Data: Frequency Distributions and Graphic Presentation. 3. Describing Data: Measures of Central Tendency. 4. Other Descriptive Measures. 5. A Survey of Probability Concepts. 6. Discrete Probability Distributions. 7. The Normal Probability Distribution. 8. Sampling Methods and The Central Limit Theorem. 9. Estimation and Confidence Intervals. 10. One Sample Tests of Hypothesis. 11. Two Sample Tests of Hypothesis. 12. Analysis of Variance. 13. Linear Regression and Correlation. 14. Multiple Regression and Correlation Analysis. 15. Non-parametric Methods: Chi-Square Applications. 16. Non-parametric Methods: Analysis of Ranked Data. 17. Statistical Quality Control. 18. Index Numbers. 19. Time Series and Forecasting. 20. An Introduction to Decision Theory Under Uncertainty. Appendices.