Skip to content

Statistics for Social and Health Research With a Guide to SPSS

Spend $50 to get a free DVD!

ISBN-10: 0761968180

ISBN-13: 9780761968184

Edition: 2000

Authors: George Argyrous

List price: $51.95
Blue ribbon 30 day, 100% satisfaction guarantee!
what's this?
Rush Rewards U
Members Receive:
Carrot Coin icon
XP icon
You have reached 400 XP and carrot coins. That is the daily max!


This comprehensive, step-by-step guide provides a clear guide to choosing the appropriate statistical technique, a guide to SPSS up to Version 10, a CD-Rom with sample data sets, and end of chapter exercises to reinforce understanding.
Customers also bought

Book details

List price: $51.95
Copyright year: 2000
Publisher: SAGE Publications, Limited
Publication date: 6/22/2000
Binding: Paperback
Pages: 560
Size: 6.75" wide x 9.50" long x 1.25" tall
Weight: 2.090
Language: English

Univariate Descriptive Statistics
Variables and Their Measurement
Setting up an SPSS Data File
The Tabular Description of Data
The Numerical Description of Data
Measures of Central Tendency and Measures of Dispersion
The Graphical Description of Data
The Normal Curve
Bivariate Descriptive Statistics
Investigating the Relationship between Two Variables
The Tabular Description of Nominal and Ordinal Data
Numerical Description of Nominal Data
Measures of Association
Numerical Description of Ordinal Data
Graphical and Numerical Description of Interval/Ratio Data
Scatter Plots and Linear Regression
Inferential Statistics: The One-Sample Case
Sampling Distributions
Estimation and Confidence Intervals
Introduction to Hypothesis Testing
One-Sample z-Test for a Mean
The One-Sample t-Test for a Mean
One-Sample Tests for a Binomial Distribution
One-Sample Tests for a Frequency Distrbution
Inferential Statistics: Two or More Independent Samples
The F-Test for the Equality of More Than Two Means
Analysis of Variance
Rank-Order Tests for Two or More Samples
The Chi-Square Test for Independence
The t-Test for a Correlation Coefficient
Inferential Statistics: Two Dependent Samples
The t-Test for the Mean Difference
Non-Parametric Tests for Two Dependent Samples
Multivariate Descriptive Statistics
Elaborating Crosstabs
Adding Control Variables
Multiple Regression