Gerber / Voelkl The SPSS Guide to the New Statistical Analysis of Data

by T.W. Anderson and Jeremy D. Finn
Erscheinungsjahr 2012
ISBN: 978-1-4612-2262-0
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 203 Seiten, eBook

This book is a self-teaching guide to the SPSS for Windows computer package. 'It is designed to be used hand-in-hand with The New Statistical Analysis of Data by T. W. Anderson and Jeremy D. Finn, although it may be used as a stand-alone manual as well. This guide is very easy to follow since all procedures are outlined in a straightforward, step-by-step format. Because of its self-instructional nature, the beginning student can learn to analyze statistical data with SPSS without outside assistance. The reader is "walked through" numerous examples that illustrate how to use the SPSS package. The results produced by SPSS are shown and discussed in each application. The data sets used in the examples are primarily those in the Anderson-Finn textbook. To the extent that SPSS performs the procedures in the Anderson-Finn text, this manual follows the book chapter-by-chapter. Except for Chapter 1, the section titles in the manual correspond to sections in the textbook. Each chapter demonstrates the statistical procedures described in the textbook and gives exercises that can be performed for further practice. (An instructor may choose to use these as additional class assignments. ) This manual was created using SPSS for Windows, Version 6. 1, on an IBM-compatible personal computer. There are other versions available, including: Version 7. 0 for Windows 95, Version 6. 1 for Macintosh, and Version 6. 1 for Power Macintosh.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Gerber, Susan B.

Voelkl, Kristin E.

Inhaltsverzeichnis

I: Introduction.- 1 The Nature of SPSS.- II: Descriptive Statistics.- 2 Organization of Data.- 3 Measures of Location.- 4 Measures of Variability.- 5 Summarizing Multivariate Data: Association Between Numerical Variables.- 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 Two 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 Comparisons of Several Populations.- Appendix Data Files.