My library Help Advanced Book Search. He is author of over refereed article and four texts including "Statistics: There is a stronger focus on real examples and on the integration of statisical software. If you're interested in creating a cost-saving package for your students, contact your Pearson rep. Reviews "This text is readable, understandable, and well-organized.
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New to This Edition. Because of this, this book does not cover the traditional shortcut hand-computational formulas and approximations. The main concepts to be understood by students are sampling distribution, confidence interval, p-value, linear regression.
Integration of descriptive and inferential statistics from an early point in the text. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course.
My library Help Advanced Book Search. Statistical Methods for the Social Sciences, 4th Edition. He is author of over refereed article and four texts including "Statistics: Signed out You have successfully signed out and will be required to sign back in should you need to download more resources. Websites and online courses. The book presents an introduction to statistical methods for students majoring in social science disciplines.
The main changes are as follows:. Strong emphasis on regression topics.
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 finlsy they see. Statistical Methods for the Social Sciences, 3rd Edition. Description The book presents an introduction to statistical methods for students majoring in social science disciplines. This edition has a somewhat lower technical level in the first nine chapters, to make the book more easily accessible to undergraduate students.
This item is out of print and has been replaced with Statistical Methods for the Social Sciences, 5th Edition. finlat
Statistical Methods for the Social Sciences - Alan Agresti, Barbara Finlay - Google Books
It provides good examples with SPSS output. He has been teaching statistics there for 30 years, including the development of three courses in sociql methods for social science students and three courses in categorical data analysis.
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 it eschews computational formulae. The book contains sufficient material for a two-semester sequence of courses.
Statistical Methods for the Social Sciences, 4th Edition
The author, in this new edition, uses the symbol se for estimated standard errors, rather than the notation of sigma-hat with subscript having the estimator symbol. If you're interested in creating a cost-saving package for your students, contact your Pearson rep.
Pearson offers special pricing when you package your text with other student resources. We don't recognize your username or password.
One way analysis sciemces variance. The presentation of computationally complex methods, such as regression, emphasizes interpretation of software output rather than the formulas for performing the analysis.
Chapter 16 includes new sections on longitudinal data analysis and multilevel hierarchical models.
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. The book presents an introduction to statistical methods for students majoring in social science disciplines.
The fourth edition has an even stronger emphasis on concepts and applications, with greater attention to "real data" both in the examples and exercises. This edition contains several changes and additions in content, directed toward a more modern approach.
Alan AgrestiBarbara Finlay.