Social and Behavioral Statistics

A User-Friendly Approach

Steven P. Schacht

• Publisher: Routledge
• Year: 2018
• ISBN:
  9780429976933
• Edition: 2
• Topic: Social Sciences
• Subtopic: Sociology
• Index: Social Sciences

Revised and updated to include the behavioral sciences, the second edition of this introductory statistics book engages students with real-world examples and exercises.

To the dismay of many social and behavioral science majors, successfully passing a statistics course in sociology, psychology, and most other social/behavioral science programs is required, and at many institutions statistics is becoming a university-wide requirement. In this newly revised text, the authors continue to make use of their proven stress-busting approach to teaching statistics to self-describe math phobic students. This book uses humorous examples and step-by-step presentations of statistical procedures to illustrate what are often complex and hard-to-grasp statistical concepts. Students and instructors will find this text to be a helpful, easy to interpret and thoroughly comprehensive introduction to social and behavioral statistics. Perfect for social and behavioral sciences upper-level undergrads fearful of that required stats course. It uses stress-busting features like cartoons and real-world examples to illustrate what are often complex and hard-to-grasp statistical concepts. Includes the newest and most necessary tools for students to master statistical skills making handouts or additional books unnecessary and gives instructors and their students a compact and affordable main text for their introductory stats courses.

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Contents
• Preface to the Second Edition
• Preface to the First Edition
• 1 Introduction
• 2 Basic Mathematical Concepts
• 3 Frequency Distributions, Graphs, and Charts
• 4 Measures of Central Tendency
• 5 Measures of Variability
• 6 Locating Points Within a Distribution
• 7 Probability
• 8 Constructing Confidence Intervals
• 9 Hypothesis Testing Between Two Sets of Observations
• 10 Simple Regression and Correlation
• 11 One-Way Analysis of Variance (ANOVA)
• 12 Factorial Analysis of Variance: ANOVA with More than One Independent Variable
• 13 An Introduction to Chi-Square and Other Non-Parametric Statistics
• Appendix 1 Table of Probabilities Under the Normal Curve
• Appendix 2 Critical Values of t
• Appendix 3 Critical Values of F(α = .05 first row; α = .01 second row)
• Appendix 4 Critical Values of the Chi-Square Distribution
• Index