Principles of Applied Statistics
Published on 4. June 1994
Book
Paperback/Softback
352 pages
978-0-415-07379-0 (ISBN)
Description
Managers need to know the broad basis of statistical techniques in order to manage information efficiently. More importantly, they need to interpret results and to extrapolate for effective decision-making. This text aims to guide the reader through the principles of: statistical data; probability; regression and correlation analysis; forecasting; and time series analysis, emphasizing their practical applications. The authors illustrate the techniques with extensive reference to computer programs and statistical packages. Fleming and Nellis are also authors of "The Essence of Statistics for Business". and "The Essence of Business Economics" (both Prentice Hall) #9.99.
More details
Series
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 234 mm
Width: 156 mm
Weight
580 gr
ISBN-13
978-0-415-07379-0 (9780415073790)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
M.C. Fleming | Joseph G. Nellis
Principles of Applied Statistics and Information Management
Book
05/1994
Cengage Learning EMEA
€49.70
Article exhausted; check for reprint
Content
Part 1 Descriptive Statistics: Describing data - tables, charts and graphs. Describing data - averages. Describing data - variability. Exploratory data analysis. Part 2 Probability and Probability Distributions: Probability concepts. Binomial probability distribution. Poisson probability distribution. Normal probability distribution. Part 3 Statistical Inference: Statistical inference - an overview. Sampling distributions. Estimation. Estimation and the t distribution. Hypothesis testing - single population mean. Hypothesis testing - two population mean. Estimation and hypothesis testing - proportions. Part 4 Relationships between Variables: Simple linear regression and correlation. Multiple linear regression and correlation. Tests of goodness of fit and independence. Part 5 Time Series and Index Numbers: Time series analysis. Index numbers. Appendix: Statistical tables.