Joy of Stats

A Short Guide to Introductory Statistics in the Social Sciences

; Michael Ash (Bidragsyter)

The Joy of Stats offers a reader-friendly introduction to applied statistics and quantitative analysis in the social sciences and public policy. Perfect as an undergraduate text or self-study manual, it emphasizes how to understand concepts, interpret algorithms and formulas, analyze data, and answer research questions. Les mer
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Vår pris: 1401,-

(Innbundet) Fri frakt!
Leveringstid: Sendes innen 21 dager

The Joy of Stats offers a reader-friendly introduction to applied statistics and quantitative analysis in the social sciences and public policy. Perfect as an undergraduate text or self-study manual, it emphasizes how to understand concepts, interpret algorithms and formulas, analyze data, and answer research questions.


This brand new edition offers examples and visualizations using real-life data, a revised discussion of statistical inference, and introductory examples in R and SPSS. The third edition has been extensively reorganized with shorter chapters and closer links between concepts and formulas, while retaining useful pedagogical features including key terms, practice exercises, a math refresher, and playful inserts on "the mathematical imagination." The Joy of Stats also places a strong emphasis on learning how to write and speak clearly about data results. Supported by a companion website with data sets and additional resources, The Joy of Stats is a superb choice for introducing students to applied statistics and for refreshing and reviewing stats as a social scientist, public policy professional, or community activist.
List of Figures and Tables
Preface


Part One: Getting Started
1. Thinking about Numbers
2. Variables


Part Two: Describing Distributions
3. Describing Variable Distributions—First Steps
4. Measures of Central Tendency
5. Variability and Z-scores


Part Three: Statistical Inference
6. Thinking about Statistical Inference
7. Doing Statistical Inference


Part Four: Relations Among Variables
8. Regression and Correlation
9. Comparing Means
10. Categorical Variables
11. Multiple Regression and Logistic Regression
12. Reading Research


Math Refresher
Charts for Distributions
Bibliography
Index
Roberta Garner is a professor in the Department of Sociology at DePaul University.
Michael Ash is a professor in the Department of Economics and School of Public Policy at the University of Massachusetts Amherst.