Such sequences are commonly required of social science graduate students in sociology, political Alan Agresti, Barbara Finlay The book presents an introduction to statistical methods for students majoring in social science disciplines. Statistical methods for the social sciences / Alan Agresti, Barbara Finlay Agresti, an introduction to statistical methods for students majoring in social science. Results 1 – 30 of 93 Statistical Methods for the Social Sciences by Agresti, Alan, Finlay, Barbara and a great selection of related books, art and collectibles.
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Statistical Methods for the Social Sciences
The work is protected by local and international copyright laws and is provided solely for the use of instructors in teaching their courses and assessing student learning. Account Options Sign in.
This edition contains several changes and additions in content, directed toward a more modern approach. About the Author s.
Perfectly reasonable base text; I think one can get through it significantly faster than two semesters, but provides just the base needed for more advanced work.
Instructors, sign in here to see net price. Since the first edition, the increase in computer power coupled with the continued improvement and accessibility of statistical software has had a major impact on the way social scientists analyze data.
Statistical Methods for the Social Sciences, 4th Edition
The main concepts to be understood by students are sampling distribution, confidence interval, p-value, linear regression. The book helps in this Amazon Advertising Find, attract, and engage customers. Websites and online courses.
ComiXology Thousands of Digital Comics. User Review – Flag as inappropriate Perfectly reasonable base text; I think one can get through it significantly faster than two semesters, but provides just the base needed for more advanced work. Advanced topics such as regression and ANOVA emphasize interpreting output from computer packages rather than complex computing formulas.
Get to Know Us. No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal lowest-level high-school algebra. No eBook available Amazon. The formatting is also problematic for me as a dyslexic in several ways. The author is successful in his goal of introducing statistical methods in a style that emphasized their concepts and fof application to the social sciences rather than cor mathematics and computational details behind them.
The text is the same, though. This is by no means a theoretical textbook: The author uses capital Y only as notation for a variable and lower-case for observed values and sample statistics; thus, y-bar, rather than Y-bar, which is consistent with the lower-case used throughout for the standard deviation and other statistics. The presentation of computationally complex methods, such as regression, emphasizes interpretation of software output rather than the formulas for performing the analysis.
See and discover other items: What other items do customers buy after viewing this item? Probability, sample data, and sampling distributions. Also a lot of the exercises are vague and odd imo. It is very good. East Dane Designer Men’s Fashion. The fourth edition has an even stronger emphasis on concepts and applications, with greater attention to “real data” both in the examples and exercises.
Description Fr book presents an introduction to statistical methods for students majoring in social science disciplines. It provides good examples with SPSS output. The main changes are as follows:.
The book contains sufficient material for a fnilay sequence of courses. I personally didn’t find this textbook’s explanations or presentation of material entirely intuitive, especially for anybody who hadn’t already been exposed to statistics. Read reviews that mention social sciences agresti and finlay job of explaining statistical methods social science easy read textbook statistics book examples concepts class course students level basic chapter exercises example math stats.
Statistical Methods for the Social Sciences – Alan Agresti, Barbara Finlay – Google Books
The book contains sufficient material for a two-semester sequence of courses. It provides good examples with SPSS output.
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