AGRESTI AND FINLAY STATISTICAL METHODS FOR THE SOCIAL SCIENCES PDF

Statistical methods for the social sciences / Alan Agresti, Barbara Finlay Agresti, an introduction to statistical methods for students majoring in social science. 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. APA Citation. Agresti, A., & Finlay, B. (). Statistical methods for the social sciences (Fourth edition, Pearson new international edition.). London: Pearson.

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A technically correct presentation.

Statistical Methods for the Social Sciences, 4th Edition. Datasets and other resources where applicable for this book are available here. The main concepts to be understood by students are sampling distribution, confidence interval, p-value, linear regression.

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

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.

Strong emphasis on regression topics. The author is successful in his goal of introducing statistical methods in a style that emphasized their concepts and their application to the social sciences rather than the mathematics and computational details behind them. This includes some new exercises that ask students to use applets located at http: To help with this, some notation has been simplified or eliminated.

Statistical Methods for the Social Sciences

Availability This item is out of print and has been replaced with Statistical Methods for the Social Sciences, 5th Edition. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. 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.

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Description The book presents an introduction to statistical methods for students majoring in social science disciplines. 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.

Moreover, a wide variety of regression models such as linear agresi, ANOVA, logistic regression are taught in the same format, essentially as special cases of a generalized linear model.

Statistical Methods for the Social Sciences, 3rd Edition. Probability, sample data, and sampling distributions.

If you’re interested in creating a cost-saving package for your students, contact your Pearson rep. The presentation of computationally complex methods, such as regression, emphasizes interpretation of software output rather than the formulas for performing the analysis.

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. You have successfully signed out and will be required to sign back in should you need to download more resources.

Statistical Methods for the Social Sciences, 4th Edition

The book contains sufficient material for a two-semester Instructors, sign in here to see net price. The book presents an introduction to statistical methods for students majoring in social science disciplines. Since the first edition, the increase in computer power coupled with the continued improvement and accessibility of statistical software has had a major scienxes on the way social scientists analyze data.

Read, highlight, and take notes, across web, tablet, and phone. The mathematics is still downplayed, in particular probability, which is all too often a stumbling block for students. The book contains sufficient material for a two-semester sequence of courses. The book helps in this The book presents an introduction to statistical methods for students majoring in social science disciplines.

Alan AgrestiBarbara Finlay. New to This Edition. It provides good examples with SPSS output. Websites and online courses. The main changes are as follows:.

This edition has a somewhat lower technical level in the first nine chapters, to make the book more easily accessible to undergraduate students. From inside the book. Advanced topics such as regression and ANOVA emphasize interpreting output from computer packages rather than complex computing formulas. On the other hand, the text is not a cookbook. He is author of over refereed article and four texts including “Statistics: Share a link to All Finlqy.

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Signed out You have successfully signed out and will be required to sign back in should you need to download more resources. Because of this, this book does not cover the traditional shortcut hand-computational formulas and approximations. By “modern”, I mean that it is model rather than test oriented, that it gives heavy emphasis to confidence intervals and p-values rather than using arbitrary levels of significance, and that scisnces eschews computational formulae.

About the Author s. Integration of descriptive and inferential statistics from an early point in the text. 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.

Reviews “This text is readable, understandable, and well-organized.

The book contains sufficient material for a two-semester sequence of courses. My library Help Advanced Book Search. Reliance on an overly simplistic recipe-based approach to statistics is not the route to good statistical practice.

No eBook available Amazon. No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal lowest-level high-school algebra.

Statistical Methods for the Social Sciences. Pearson offers special pricing when you package your text with other student resources. Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course.