Statistics Explained A Guide for Social Science Students

ISBN-10: 0415332850
ISBN-13: 9780415332859
Edition: 2nd 2004 (Revised)
Authors: Perry R. Hinton
List price: $53.95
30 day, 100% satisfaction guarantee

If an item you ordered from TextbookRush does not meet your expectations due to an error on our part, simply fill out a return request and then return it by mail within 30 days of ordering it for a full refund of item cost.

Learn more about our returns policy

Description: Do you hate statistics? Are you confused by the wide range of statistical tests and their uses? This book clearly outlines the major statistical tests used by undergraduates in psychology and the social sciences, and provides easy-to-understand  More...

what's this?
Rush Rewards U
Members Receive:
coins
coins
You have reached 400 XP and carrot coins. That is the daily max!

Study Briefs

Limited time offer: Get the first one free! (?)

All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.

Add to cart
Study Briefs
Italian Grammar Online content $4.95 $1.99
Add to cart
Study Briefs
Portuguese Grammar Online content $4.95 $1.99
Add to cart
Study Briefs
Spanish Grammar Online content $4.95 $1.99
Add to cart
Study Briefs
German Grammar Online content $4.95 $1.99

Customers also bought

Loading
Loading
Loading
Loading
Loading
Loading
Loading
Loading
Loading
Loading

Book details

List price: $53.95
Edition: 2nd
Copyright year: 2004
Publisher: Routledge
Publication date: 8/31/2004
Binding: Paperback
Pages: 400
Size: 6.75" wide x 9.50" long x 0.75" tall
Weight: 1.650
Language: English

Do you hate statistics? Are you confused by the wide range of statistical tests and their uses? This book clearly outlines the major statistical tests used by undergraduates in psychology and the social sciences, and provides easy-to-understand explanations of how and why they are used.

List of figures
Preface
Preface to the Second Edition
Introduction
Descriptive statistics
Measures of 'central tendency'
Measures of 'spread'
Describing a set of data: in conclusion
Comparing two sets of data with descriptive statistics
Some important information about numbers
Standard scores
Comparing scores from different distributions
The Normal Distribution
The Standard Normal Distribution
Introduction to hypothesis testing
Testing an hypothesis
The logic of hypothesis testing
One- and two-tailed predictions
Sampling
Populations and samples
Selecting a sample
Sample statistics and population parameters
Summary
Hypothesis testing with one sample
An example
When we do not have the known population standard deviation
Confidence intervals
Hypothesis testing with one sample: in conclusion
Selecting samples for comparison
Designing experiments to compare samples
The interpretation of sample differences
Hypothesis testing with two samples
The assumptions of the two sample t test
Related or independent samples
The related t test
The independent t test
Confidence intervals
Significance, error and power
Type I and Type II errors
Statistical power
The power of a test
The choice of [alpha] level
Effect size
Sample size
Conclusion
Introduction to the analysis of variance
Factors and conditions
The problem of many conditions and the t test
Why do scores vary in an experiment?
The process of analysing variability
The F distribution
Conclusion
One factor independent measures ANOVA
Analysing variability in the independent measures ANOVA
Rejecting the null hypothesis
Unequal sample sizes
The relationship of F to t
Multiple comparisons
The Tukey test (for all pairwise comparisons)
The Scheffe test (for complex comparisons)
One factor repeated measures ANOVA
Deriving the F value
Multiple comparisons
The interaction of factors in the analysis of variance
Interactions
Dividing up the between conditions sums of squares
Simple main effects
Conclusion
Calculating the two factor ANOVA
The two factor independent measures ANOVA
The two factor mixed design ANOVA
The two factor repeated measures ANOVA
A non-significant interaction
An introduction to nonparametric analysis
Calculating ranks
Two sample nonparametric analyses
The Mann-Whitney U test (for independent samples)
The Wilcoxon signed-ranks test (for related samples)
One factor ANOVA for ranked data
Kruskal-Wallis test (for independent measures)
The Friedman test (for related samples)
Analysing frequency data: chi-square
Nominal data, categories and frequency counts
Introduction to X[superscript 2]
Chi-square (X[superscript 2]) as a 'goodness of fit' test
Chi-square (X[superscript 2]) as a test of independence
The chi-square distribution
The assumptions of the X[superscript 2] test
Linear correlation and regression
Introduction
Pearson r correlation coefficient
Linear regression
The interpretation of correlation and regression
Problems with correlation and regression
The standard error of the estimate
The Spearman r[subscript S] correlation coefficient
Multiple correlation and regression
Introduction to multivariate analysis
Partial correlation
Multiple correlation
Multiple regression
Complex analyses and computers
Undertaking data analysis by computer
Complex analyses
Reliability
Factor analysis
Multivariate analysis of variance (MANOVA)
Discriminant function analysis
Conclusion
An introduction to the general linear model
Models
An example of a linear model
Modelling data
The model: the regression equation
Selecting a good model
Comparing samples (the analysis of variance once again)
Explaining variations in the data
The general linear model
Notes
Glossary
References
Acknowledgements and statistical tables
The standard normal distribution tables
Critical values of the t distribution
Critical values of the F distribution
Critical values of the Studentized range statistic, q
Critical values of the Mann-Whitney U statistic
Critical values of the Wilcoxon T statistic
Critical values of the chi-square (X[superscript 2]) distribution
Table of probabilities for X[superscript 2 subscript r] when k and n are small
Critical values of the Pearson r correlation coefficient
Critical values of the Spearman r[subscript S] ranked correlation coefficient
Index

×
Free shipping on orders over $35*

*A minimum purchase of $35 is required. Shipping is provided via FedEx SmartPost® and FedEx Express Saver®. Average delivery time is 1 – 5 business days, but is not guaranteed in that timeframe. Also allow 1 - 2 days for processing. Free shipping is eligible only in the continental United States and excludes Hawaii, Alaska and Puerto Rico. FedEx service marks used by permission."Marketplace" orders are not eligible for free or discounted shipping.

Learn more about the TextbookRush Marketplace.

×