Atjaunināt sīkdatņu piekrišanu

Joy of Stats: A Short Guide to Introductory Statistics in the Social Sciences, Third Edition 3rd New edition [Hardback]

  • Formāts: Hardback, 277 pages, height x width x depth: 246x198x29 mm, weight: 1060 g, 53 b&w figures, 84 b&w tables
  • Izdošanas datums: 30-Sep-2022
  • Izdevniecība: University of Toronto Press
  • ISBN-10: 1487527284
  • ISBN-13: 9781487527280
  • Hardback
  • Cena: 104,13 €
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
  • Formāts: Hardback, 277 pages, height x width x depth: 246x198x29 mm, weight: 1060 g, 53 b&w figures, 84 b&w tables
  • Izdošanas datums: 30-Sep-2022
  • Izdevniecība: University of Toronto Press
  • ISBN-10: 1487527284
  • ISBN-13: 9781487527280
"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, analyse 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 Stata, SPSS, and R. 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."--

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.



The Joy of Stats opens the door to statistics and quantitative analysis in the social sciences with a brief and accessible guide for students and professionals.

List of Figures and Tables
ix
Preface xv
Acknowledgments xvii
Introduction xix
PART ONE GETTING STARTED
Chapter 1 Thinking about Numbers
3(22)
Chapter 2 Variables
25(38)
Conclusion of Part One
59(4)
PART TWO DISTRIBUTIONS
Chapter 3 Describing and Visualizing Variable Distributions
63(32)
Chapter 4 Measures of Central Tendency
95(16)
Chapter 5 Variability
111(36)
Conclusion of Part Two
137(10)
PART THREE STATISTICAL INFERENCE
Chapter 6 Thinking about Statistical Inference
147(56)
Chapter 7 Doing Statistical Inference
203(46)
Conclusion of Part Three
245(4)
PART FOUR RELATIONS AMONG VARIABLES
Chapter 8 Regression Analysis
249(54)
Chapter 9 Comparing Means
303(32)
Chapter 10 Categorical Variables
335(38)
Chapter 11 Multivariate Analysis - First Steps
373(34)
Chapter 12 Reading and Writing a Research Report
407(16)
Conclusion of Part Four
415(8)
Appendix A Math Refresher 423(28)
Appendix B Charts for Distributions 451(12)
Annotated Bibliography 463(6)
Works Cited 469(4)
Index 473
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.