1. The What and the Why of Statistics
2. Organization of Information: Frequency Distributions
3. Graphic Presentation
4. Measures of Central Tendency
5. Measures of Variability
6. The Normal Distribution
7. Sampling and Sampling Distributions
8. Estimation
9. Testing Hypotheses
10. Relationships Between Two Variables: Cross-Tabulation
11. The Chi-Square Test
12. Measures of Association for Nominal and Ordinal Variables
13. Regression and Correlation
14. Analysis of Variance
Chava Frankfort-Nachmias is an Emeritus Professor of Sociology at
the University of Wisconsin–Milwaukee. She is the coauthor of
Research Methods in the Social Sciences (with David Nachmias),
coeditor of Sappho in the Holy Land (with Erella Shadmi), and
numerous publications on ethnicity and development, urban
revitalization, science and gender, and women in Israel. She was
the recipient of the University of Wisconsin System teaching
improvement grant on integrating race, ethnicity, and gender into
the social statistics and research methods curriculum.
Anna Leon-Guerrero is Professor of Sociology at Pacific Lutheran
University in Washington. She received her PhD in sociology from
the University of California–Los Angeles. She was the recipient of
the university’s Faculty Excellence Award and the K. T. Tang Award
for Excellence. She is the author of and Social Problems:
Community, Policy, and Social Action, 7th Edition, and co-author
(with Chava Frankfort-Nachmias and Georgiann Davis) of Social
Statistics for a Diverse Society, 10th Edition (both with
Sage).
This is a good book offering a very clear narrative. I believe it
would be quite useful for students who are just starting to engage
in statistical analysis. I think the strength of the book is
definitely its structure – which is really good (I teaching the
same order) and also the relative simplicity of explanations. I
think this is a good BA level book. I also believe international MA
students who have not engaged in any quantitative analysis may find
it useful. I find the boxes with explanations very helpful and the
illustrative pictograms make the statistical concept more visual
and understandable. I would not adopt it as a core book for MA, but
will include it in a list of suggested readings. The only issue I
have is the relevance of the US examples to the British context
where I teach. I think the irrelevance of the context might deter
students from reading it. I think I will adopt some of the
visual ways (boxes and graphs) to represent stats – perhaps in my
lecture slides.
*Maria Karepova*
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