ABSTRACT
This comprehensive and uniquely organized text is aimed at undergraduate and graduate level statistics courses in education, psychology, and other social sciences. A conceptual approach, built around common issues and problems rather than statistical techniques, allows students to understand the conceptual nature of statistical procedures and to focus more on cases and examples of analysis. Wherever possible, presentations contain explanations of the underlying reasons behind a technique. Importantly, this is one of the first statistics texts in the social sciences using R as the principal statistical package. Key features include the following.
- Conceptual Focus – The focus throughout is more on conceptual understanding and attainment of statistical literacy and thinking than on learning a set of tools and procedures.
- Problems and Cases – Chapters and sections open with examples of situations related to the forthcoming issues, and major sections ends with a case study. For example, after the section on describing relationships between variables, there is a worked case that demonstrates the analyses, presents computer output, and leads the student through an interpretation of that output.
- Continuity of Examples – A master data set containing nearly all of the data used in the book’s examples is introduced at the beginning of the text. This ensures continuity in the examples used across the text.
- Companion Website – A companion website contains instructions on how to use R, SAS, and SPSS to solve the end-of-chapter exercises and offers additional exercises.
- Field Tested – The manuscript has been field tested for three years at two leading institutions.
TABLE OF CONTENTS
part |26 pages
Part I
chapter |24 pages
Introduction and Background
part |164 pages
Descriptive Statistics
chapter |27 pages
Describing Quantitative Data with Frequency Distributions
chapter |40 pages
Describing Quantitative Data: Summary Statistics
chapter |15 pages
Describing the Position of a Case Within a Set of Scores
part |62 pages
The Fundamentals of Statistical Inference
chapter |17 pages
The Essentials of Probability
chapter |18 pages
Probability And Sampling Distributions
chapter |25 pages
The Normal Distribution
part |130 pages
Statistical Inference
chapter |19 pages
The Basics of Statistical Inference: Tests of Location
chapter |25 pages
Other One-Sample Tests for Location
chapter |30 pages
More One-Sample Tests
chapter |26 pages
Two-Sample Tests of Location
chapter |26 pages
Other Two-Sample Tests: Variability and Relationships
part |64 pages
k-Sample Tests