AGRESTI FINLAY STATISTICAL METHODS FOR THE SOCIAL SCIENCES PDF

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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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. About the Author s.

Statistical Methods for the Social Sciences, 4th Edition

The book presents an introduction to statistical methods for students majoring in social science disciplines. Exercises in this “international edition” are not the same to those of the American one.

No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal lowest-level high-school algebra. We don’t recognize your username or password. The book helps thd this Username Password Forgot your username or password? He has held visiting positions at Harvard University, Boston University, London School of Economics, and Imperial College and has taught courses or short courses for universities and companies in about 20 countries worldwide.

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Share a link to All Resources. Reliance on an overly simplistic recipe-based approach to statistics is not the route to good statistical practice. Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course.

The information presented once you get to it is reasonably well-written but not so outstandingly better done than other textbooks that were formatted more logically to raise the rating I would give this textbook a 2 star for the formatting issues alone, the quality of the actual instruction earned it an additional star from me.

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Statistical Methods for the Social Sciences – Alan Agresti, Barbara Finlay – Google Books

Teh text contains numerous sample printouts, mainly in the style of SPSS and occasionaly SAS, both in chapter text and homework problems. Amazon Advertising Find, attract, and engage customers.

Pages with related products. Methkds offers special pricing when you package your text with other student resources. Explore the Home Gift Guide.

Although it may be to make the material more digestible, I have to say the book does a poor job of explaining concepts and makes it more confusing without prior knowledge.

This meant I was scrambling many times to get to the section the professor was actually discussing after accidentally winding up in the example instead of subsection on those small classroom desks that are already too small for just my laptop, this was extremely annoying. Signed out You have successfully signed out and will be required to sign back in should you need to download more resources.

The book contains sufficient material for a two-semester sequence of courses.

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Statistical methods for the social sciences / Alan Agresti, Barbara Finlay – Details – Trove

Description The book presents an introduction to statistical methods for students majoring in social science disciplines. Strong emphasis on regression topics. On the other hand, the text is not a cookbook.

The book presents an introduction to statistical methods for flnlay majoring in social science disciplines. The book helps in this This edition contains several changes and additions in content, directed toward a more modern approach.

The book contains sufficient material for a two-semester sequence of courses. Statistics for the Social Sciences. The formatting is also problematic for me as a dyslexic in several ways.

Share your thoughts with other customers. He has been teaching statistics there for 30 years, including the development of three courses in statistical methods for social science students and three courses in categorical data analysis.

Such sequences are commonly required of social science graduate students in sociology, political science, and psychology.

The presentation of computationally complex methods, such as regression, emphasizes interpretation of software output rather than the formulas for performing the analysis.

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