Statistics for Business and Economics
South-Western (Publisher)
Published on 1. January 2001
Book
Mixed media product
1008 pages
978-0-324-06671-5 (ISBN)
Article exhausted; check for reprint
Description
This text offers an applications-oriented approach to and a methodological development of statistics for business and economics. The discussion and development of each technique is presented in an application setting, with the statistical results providing insights to decisions and solutions to problems. The new edition includes four new cases that emphasize managerial use and interpretation of statistics for a business approach, and self-test exercises enable students to check immediately their understanding of chapter content. The book has approximately 200 new problems based on real and referenced data to provide insight into today's world of statistics, and there are other added exercises and data throughout the text.
More details
Edition
US only ed
Language
English
Place of publication
Mason, OH
United States
Publishing group
Cengage Learning, Inc
Target group
College/higher education
Professional and scholarly
Illustrations
illustrations (some colour) colour facsim., map
Dimensions
Height: 254 mm
Width: 204 mm
Thickness: 38 mm
Weight
1928 gr
ISBN-13
978-0-324-06671-5 (9780324066715)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Dennis J. Sweeney | Thomas Arthur Williams | David Ray Anderson
Statistics for Business and Economics
Book
02/2004
9th Edition
South-Western
€59.67
Article is exhausted; no reprint
Previous edition
David Ray Anderson | etc.
Statistics for Business and Economics
Book
07/1998
7th Edition
Cengage Learning, Inc
€69.45
Article exhausted; check for reprint
Persons
Content
Data and statistics; descriptive statistics - tabular and graphical methods; descriptive statistics - numerical methods; introduction to probability; discrete probability distributions; continuous probability distributions; sampling and sampling distributions; interval estimation; hypothesis testing; statistical inference about means and proportions with two populations; inferences about population variances; tests of goodness of fit and independence; analysis of variance and experimental design; simple linear regression; multiple regression; regression analysis - model building; index Numbers; Forecasting; Non-parametric methods; statistical methods for quality control; sample survey.