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

The mathematics is still downplayed, in particular probability, which is all too often a stumbling block for students. The fourth edition has an even stronger emphasis on concepts and applications, with greater attention to “real data” both in the examples and exercises.

Agersti edition also has an appendix explaining how to apply SPSS and SAS to conduct the methods of each chapter and a website giving links to information about other software. 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.

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

Table of Contents 1. By “modern”, I mean that it is model rather than test oriented, that it gives heavy emphasis to confidence intervals and p-values rather agrestii using arbitrary levels of significance, and that it eschews computational formulae.

This includes some new exercises that ask students to use applets located at fihlay Integration of descriptive and inferential statistics from an early point in the text. Statistical Methods for the Social Sciences, 4th Edition. Teh text contains numerous sample printouts, mainly in the style of SPSS and occasionaly SAS, both in chapter text and homework problems. The book contains sufficient material for a two-semester No previous knowledge of statistics is assumed, and mathematical background is assumed to be agresit lowest-level high-school algebra.

Statistical Methods for the Social Sciences, 3rd Edition. There is a stronger focus on real examples and on the integration of statisical software.

The main concepts to be understood by students are sampling distribution, confidence interval, p-value, linear regression. Sign In We’re sorry! He is author of over refereed fin,ay and four texts including “Statistics: If you’re statisticcal in creating a cost-saving package for your students, contact your Pearson rep. He is author of over refereed article and four texts including “Statistics: This item is out of print and has been replaced with Statistical Methods for the Social Sciences, 5th Edition.

## Statistical Methods for the Social Sciences, 4th Edition

We don’t recognize your username or password. This edition has a somewhat lower technical level in the first nine chapters, to make the book more easily accessible to undergraduate students. Probability, sample data, and sampling distributions. The book presents an introduction to statistical methods for students majoring in social science disciplines.

### Statistical Methods for the Social Sciences

From inside the book. The book presents an introduction to statistical methods for students majoring in social science disciplines. The author uses capital Y only as notation for a variable and lower-case for fhe 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.

Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course. The main sciencrs are as follows:. New to This Edition. 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.

One way analysis of variance. Share a link to All Resources. Students in geography, anthropology, journalism, and speech dor are sometimes required to take at least one statistics course.

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

Reviews “This text is readable, understandable, and well-organized. Websites and online courses. Changes in the Fourth Edition: Account Options Sign in. Statistical Agtesti for the Social Sciences. The main changes are as follows: Signed out You have successfully signed out and will be required to sign back in should you need to download more resources.

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. The book contains sufficient material for a two-semester sequence of courses. You have successfully signed out and will be required to sign back in should you need to download more resources. Although not quite as informative, this will again make results consistent with software output, and help students connect the idea of the se for the various inferential methods they see.

Strong emphasis on regression topics. Read, highlight, and take notes, across web, tablet, and phone. A technically correct presentation.