Social Statistics A Text Using MicroCase

ISBN-10: 0534527418

ISBN-13: 9780534527419

Edition: 4th 2003 (Revised)

Authors: William Fox

List price: $238.95 Buy it from $4.80
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This is the only complete package for the introductory social statistics course. The fourth edition of the textbook is accompanied by a powerful version of Student MicroCase, research-quality data sets, a comprehensive set of workbook exercises, and hundreds of other enhancements. The textbook is a friendly introduction to social statistics, emphasizing both the fundamental principles that underlie statistics and the practical applications of statistics to real data. The writing style is conversational without being chatty, with an emphasis on anxiety relief. William Fox explains topics in a clear and simple manner, and prepares students to use social statistics in their everyday lives.
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Book details

List price: $238.95
Edition: 4th
Copyright year: 2003
Publisher: Wadsworth
Publication date: 8/16/2002
Binding: Paperback
Pages: 672
Size: 8.25" wide x 9.25" long x 1.50" tall
Weight: 2.992
Language: English

About the Author
Introduction and Univariate Analyses
Statistics and Variables
Statistics and Data
Overview of Statistics
Samples and Populations
Levels of Measurement
Mutually Exclusive and Collectively Exhaustive
Continuous and Discrete Variables
What Cases, Variables, and Data Files Look Like
Aggregate Data
Ideas and Thinking
Playing with Data
Summing Up Chapter 1
Frequency and Percentage Distributions
Frequency Distributions
Percentage Distributions
Cumulative Distributions
Creating Sensible and Well-Formatted Tables
Collapsing Variables
Excluding Missing Data
Selecting Subsets of Cases
Pie Charts and Bar Graphs
Mapping Ecological Variables
Summing Up Chapter 2
Percentages Distributions, Graphs, and Maps
Properties of the Mean
The Mean for Dichotomous Variables
Which to Use--Mode, Median, or Mean?
Summing Up Chapter 3
Measures of Variation
Variances and Standard Deviations
Shapes of Distributions
Standard Scores (Z-Scores)
Normal Distributions
Sampling Distributions
Confidence Intervals
Some Cautions Using Univariate Statistics
Summing Up Chapter 4
Averages and Standard Deviations
Bivariate Analyses
Bivariate Frequency Tables
Bivariate Percentage Tables
How to Read Percentage Tables
Positive, Negative, and Curvilinear Relationships
Format Conventions for Bivariate Tables
Stacked Bar Graphs for Bivariate Relationships
A Caution About Bivariate Tables Based on Small Ns
Association Does Not Imply Causation
Summing Up Chapter 5
The Chi-Square Test of Statistical Significance
The Logic of Tests of Statistical Significance
The Chi-Square Test
Problems with Expected Frequencies Less Than 5
Statistical Significance Does Not Mean Substantive Significance
Significance Tests on Population Data
Summing Up Chapter 6
Measures of Association for Cross-tabulations
Overview of Measures of Association
Chi-Square-Based Measures for Nominal Variables: V and [phi]
Choosing a Nominal Measure of Association
Measures of Association for Ordinal Variables: Gamma
Somers' D[subscript YX]
Measures of Association: An Overview
Summing Up Chapter 7
Bivariate Cross-tabulations
Comparison of Means and t Test
Box-and-Whiskers Diagrams/Differences Between Means
t Test for the Difference Between Means
Assumptions and Cautions Concerning t Test
One-Tailed and Two-Tailed Tests
Confidence Intervals for Differences Between Means
Summing Up Chapter 8
Comparison of Means and t Test
Analysis of Variance
Box-and-Whiskers Diagrams/Differences Among Means
Purpose and Assumptions of Analysis of Variance
The Logic of Analysis of Variance
The ANOVA Table
The Correlation Ratio (E[superscript 2])
Two-Way Analysis of Variance (and Beyond)
Three Cautions About Statistically Significant F Ratios
Summing Up Chapter 9
Analysis of Variance
Regression and Correlation
Scatterplots and the Strength of Relationships
Some Limitations of Scatterplots
Regression and Least-Squares Lines
Calculating Regression Coefficients
Correlation Coefficient (r)
r[superscript 2] as Proportion of Variation Explained
Correlations Between Dichotomous Variables
Association Still Does Not Imply Causation
Linear and Nonlinear Relationships
Test of Significance for a Correlation Coefficient
Correlation Matrix
Summing Up Chapter 10
Regression and Correlation
Multivariate Analyses
Multivariate Cross-tabulation
The Logic of Causal Relationships
Spurious Relationships
Some Terminology
Examples of Spurious Relationships
Somewhere Between Explanation and Replication
Suppressor Variables
Controlling for an Intervening Variable
Partial Gamma
An Overview of Elaboration
Elaboration and Problems of Small Ns
The Relationship of Multivariate Analysis to Experiment Design
Summing Up Chapter 11
Multivariate Cross-tabulation
Multiple Regression and Correlation
Extending the Regression Model
Multiple Correlation Coefficient
Standardized Regression Coefficients (Beta Coefficients)
Significance Tests for Multiple Correlation Coefficients
Regression with Dichotomous and Dummy Variables
Summing Up Chapter 12
Multiple Regression and Correlation
Statistical Tables
The Chi-Square Distribution
The t Distribution
The F Distribution: p = .05
The F Distribution: p = .01
The F Distribution: p = .001
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