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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Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. You have successfully signed out and will be required to sign back in should you need to download more resources.
Teh text contains numerous sample printouts, mainly in the style of SPSS and occasionaly SAS, both in chapter text and homework problems. Instructors, sign in here to see net price.
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.
No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal lowest-level high-school algebra.
From inside the book. Read, highlight, and take notes, across web, tablet, and phone. Probability, sample data, and sampling distributions. One way analysis of variance.
Pearson offers special pricing when you package your text with other student 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. Availability This item is out of print and has been replaced with Statistical Methods for the Social Sciences, 5th Edition. It provides good examples with SPSS output.
If you’re interested in creating a cost-saving package for your students, contact your Pearson rep. Alan AgrestiBarbara Finlay.
Emphasis on concepts, rather than computing formulas. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology.
Statistical Methods for the Social Sciences
The author, in this methode edition, uses the symbol se for estimated standard errors, rather than the notation of sigma-hat with subscript having the estimator symbol. Websites and online courses. Strong emphasis on regression topics. Advanced topics such as regression and ANOVA emphasize interpreting output from computer packages rather than complex computing formulas.
Datasets and other resources where applicable for this book are available here. Statistical Methods for the Social Sciences. It has methocs those expectations 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, 4th Edition
Username Password Forgot your username or password? He is author of over refereed article and four texts including “Statistics: The main changes are as follows: The book presents an introduction to statistical methods for students majoring in social science disciplines.
Integration of descriptive and inferential statistics from an early point in the text. My library Help Advanced Book Search. About the Author vor. This 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.
The mathematics is still downplayed, in particular probability, which is all too often a stumbling block for students. No eBook available Amazon.
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.
Students in geography, anthropology, journalism, and speech finlaj are sometimes required to take at least one statistics course. Since the first edition, the increase in computer power coupled with the continued improvement and accessibility of statistical software has atresti a major impact on the way social scientists analyze data.
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