Basic Business Statistics
Concepts and Applications
5th Edition
Published on 31. July 1992
Book
Paperback/Softback
864 pages
978-0-13-065780-0 (ISBN)
Description
A survey-database approach to applied business statistics, with innovative features including the use of computer output to assist in decision making and numerous problems. Emphasis is placed on understanding and integration rather than number crunching. This fifth edition uses an actual real estate survey which includes coverage of two new communities that link topics explored in the text, simplifying the study of descriptivee statistics, probability, statistical inference and regression analysis. Database exercises accompany the real estate survey and are clearly marked with a disk icon. The text illustrates and explains the output from the statistical packages Minitab, SAS, SPSS and MYSTAT; expands quality management chapter to cover quality control and products design; and introduces meta-analysis and its advantages and disadvantages.
More details
Edition
5th Revised edition
Language
English
Place of publication
Harlow
United Kingdom
Publishing group
Pearson Education Limited
Target group
College/higher education
Edition type
Revised edition
Dimensions
Height: 280 mm
Width: 210 mm
Weight
1902 gr
ISBN-13
978-0-13-065780-0 (9780130657800)
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Schweitzer Classification
Other editions
New editions
Book
09/1995
6th Edition
Prentice-Hall
€35.84
Article exhausted; check for reprint
Content
Data collection; describing and summarizing data; data presentation; using the computer for descriptive statistical analysis; basic probability; some important discrete probability distributions; the normal distribution; sampling distributions; estimation; hypothesis testing - introduction and concepts, differences between quantitative variables, differences between proportions and other chi-square tests; the analysis of variance; nonparametric methods; the simple linear regression model and correlation; multiple regression models; index numbers, time series and business forecasting; statistical applications of quality and productivity management.