Principles of applied statistics
Author(s)
Bibliographic Information
Principles of applied statistics
（Routledge series in the principles of management）
Routledge, 1994
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Includes bibliographical references and index
Description and Table of Contents
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.
Table of Contents
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.
by "Nielsen BookData"
