Social Statistics for a Diverse Society / Edition 4

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Overview

Adopted at a wide range of schools across the country, from Eastern Kentucky University, to the University of Michigan, to Bismarck State College, to Northwestern University! Features of this new edition include the following... *Consistently throughout the book, discussion of statistical techniques and concepts has been edited and streamlined, and the overall presentation is tighter. *The majority of GSS94 chapter examples have been updated to GSS96. All Census data has been updated to 1998 sources. *Chapters 13 and 14 have been revised and combined into one chapter. The concept of critical value of t has been eliminated, as well as one sample Z-test. Assessment of the probability of obtained t-test has been introduced, and the 6 step model has been modified to a 5 step model. *Additional end of chapter exercises have been added, on topics such as international data, criminal justice, and the elderly. *New and revised SPSS end of chapter exercises have been modified to fit GSS96 datasets. *Two modules or subsets have been created in the GSS96 Datasets for SPSS Exercises -- one for family/women's issues; the other for diversity/race issues."Not only shows how integrating issues of diversity can be done in a way that furthers the traditional objectives of statistics courses, but also in a way that makes science a warmer classroom and career climate for women and students of color. This book is pathbreaking." Kate Berheide, Skidmore College "The exercises are excellent; I consider them a particular strength of the text. Plus the use of real examples gives relevancy and meaning to the concepts." Holly S. Gimpel, Saint Joseph's College
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Editorial Reviews

From the Reviews of Previous Editions - Tom Linneman
"This book is the best I have seen on the market. It is the only book I have seen that manages to teach both statistics and a great deal of social science."
From the Reviews of Previous Editions - Meg Sandifer
"My student evaluations from using the first edition of the book were positive in marked contrast to the evaluations of other statistics texts I have used in previous courses. Students like the real world examples and exercises."
From the Reviews of the Previous Editions - Pamela Stone
"Social Statistics for a Diverse Society is excellent and extremely useful. Time and time again, I found the authors approached material in the same way I did, using a more discursive, conceptual rather than mathematical presentation. Students really loved this book and I received numerous comments to this effect
a real first!"
From the Reviews of Previous Editions - Janet Wilmoth
"The authors have done an excellent job in linking social issues with statistical techniques. This allows a student to learn how social scientists start with a questions and then use a variety of statistical techniques to answer that question. In the process, students are learning key sociological concepts related to race, gender, class, and age. The book demonstrates the sociological imagination in action."
Fromt he Reviews of Previous Editions - Kate Berheide
"The authors have shown how integrating issues of diversity can be done in a way that furthers the traditional objectives of statistics courses, but also in a way that makes science a warmer classroom and career climate for women and students of color. I am not overstating the case to say that this book is pathbreaking."
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Product Details

  • ISBN-13: 9781412915175
  • Publisher: SAGE Publications
  • Publication date: 1/28/2006
  • Series: Undergraduate Research Methods and Statistics
  • Edition description: Fourth Edition
  • Edition number: 4
  • Pages: 616
  • Product dimensions: 7.62 (w) x 9.38 (h) x 1.40 (d)

Meet the Author

Chava Frankfort-Nachmias is an Emeritus Professor of Sociology at the University of Wisconsin-Milwaukee. She is the co-author of Research Methods in the Social Sciences (with David Nachmias), and Essentials of Social Statistics (with Anna Leon-Guerrero).

Anna Leon-Guerrero is Professor of Sociology at Pacific Lutheran University in Tacoma, Washington. She teaches courses in statistics, social theory, and social problems. She is a recipient of the university's Faculty Excellence Award and the K. T. Tang Award for Excellence in Research. She received her PhD in sociology from the University of California, Los Angeles. She is also the author of Social Problems: Community, Policy and Social Action.

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Table of Contents

1 The what and the why of statistics 1
2 Organization of information : frequency distributions 27
3 Graphic presentation 63
4 Measures of central tendency 97
5 Measures of variability 135
6 Relationships between two variables : cross-tabulation 177
7 Measures of association for nominal and ordinal variables 227
8 Regression and correlation 261
9 The normal distribution 315
10 Sampling and sampling distributions 343
11 Estimation 375
12 Testing hypotheses 403
13 The chi-square test 441
14 Analysis of variance 469
App. A Table of random numbers 503
App. B The standard normal table 507
App. C Distribution of t 511
App. D Distribution of chi-square 513
App. E Distribution of F 515
App. F A basic math review 517
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