
The New Statistical Analysis of Data
Springer (Publisher)
Published on 11. April 1996
Book
Hardback
XXI, 713 pages
978-0-387-94619-1 (ISBN)
Description
The Nature of the Book This book is a text for a first course in statistical concepts and methods. It introduces the analysis of data and statistical inference and explains various methods in enough detail so that the student can apply them. Little mathematical background is required; only high school algebra is used. No mathematical proof is given in the body of the text, although algebraic demonstrations are given in appendices at the ends of some chapters. The exposition is based on logic, verbal explanations, figures, and numerical examples. The verbal and conceptual levels are higher than the mathematical leveL The concepts and methods of statistical analysis are illustrated by more than 100 interesting real-life data sets. Some examples are taken from daily life; many deal with the behavioral sciences, some with business, the health sciences, the physical sciences, and engineering. The exercises are of varying degrees of difficulty. This book is suitable for undergraduates in many majors and for grad uate students in the health sciences, behavioral sciences, and education. It has grown out of our experience over many years of teaching such courses. An earlier text by T. W. Anderson and S. L. Sclove, The Statistical Analysis of Data, had similar objectives and was of a similar nature.
More details
Edition
1st ed. 1996. Corr. 2nd printing 1996
Language
English
Place of publication
New York
United States
Target group
Lower undergraduate
Illustrations
XXI, 713 p.
Dimensions
Height: 285 mm
Width: 215 mm
Thickness: 44 mm
Weight
2025 gr
ISBN-13
978-0-387-94619-1 (9780387946191)
DOI
10.1007/978-1-4612-4000-6
Schweitzer Classification
Other editions
Additional editions

T.W. Anderson | Jeremy D. Finn
The New Statistical Analysis of Data
Book
09/2011
Springer
€53.49
Shipment within 15-20 days
Content
I: Introduction.- 1-The Nature of Statistics.- II: Descriptive Statistics.- 2 - Organization of Data.- 3 - Measures of Location.- 4 - Measures of Variability.- 5 - Summarizing Multivariate Data: Association Between Numerical Scales.- 6 - Summarizing Multivariate Data: Association Between Categorical Variables.- III: Probability.- 7 - Basic Ideas of Probability.- 8 - Probability Distributions.- 9 - Sampling Distributions.- IV: Statistical Inference.- 10 - Using a Sample to Estimate Characteristics of One Population.- 11 - Answering Questions about Population Characteristics.- 12 - Differences Between Populations.- 13 - Variability in One Population and in Two Populations.- V: Statistical Methods for Other Problems.- 14 - Inference on Categorical Data.- 15 - Simple Regression Analysis.- 16 - Comparison of Several Populations.- 17 - Sampling from Populations: Sample Surveys.- Answers to Selected Exercises.- References.- Appendices.- Appendix I Table of the Standard Normal Distribution.- Appendix II Table of Binomial Probabilities.- Appendix IV Percentage Points of Chi-Square Distributions.- Appendix VI Table of Random Digits.