AGRESTI FINLAY STATISTICAL METHODS FOR THE SOCIAL SCIENCES PDF

The book presents an introduction to statistical methods for students majoring in social science disciplines. 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. Alan Agresti , Barbara Finlay.

Author:Terr Tojak
Country:Nicaragua
Language:English (Spanish)
Genre:Health and Food
Published (Last):12 October 2008
Pages:440
PDF File Size:12.20 Mb
ePub File Size:17.19 Mb
ISBN:661-2-18611-856-4
Downloads:4518
Price:Free* [*Free Regsitration Required]
Uploader:Balrajas



Would you like to tell us about a lower price? If you are a seller for this product, would you like to suggest updates through seller support? For courses in Statistical Methods for the Social Sciences. Statistical methods applied to social sciences, made accessible to all through an emphasis on concepts Statistical Methods for the Social Sciences introduces statistical methods to students majoring in social science disciplines. With an emphasis on concepts and applications, this book assumes you have no previous knowledge of statistics and only a minimal mathematical background.

It contains sufficient material for a two-semester course. The 5th Edition gives you examples and exercises with a variety of "real data. It continues to downplay mathematics-often a stumbling block for students-while avoiding reliance on an overly simplistic recipe-based approach to statistics. Read more Read less. Frequently bought together. Add all three to Cart.

These items are shipped from and sold by different sellers. Show details. Principles of Marketing by Dr. Philip T. Ships from and sold by Amazon US. Customers who bought this item also bought. Page 1 of 1 Start over Page 1 of 1. Previous page. Elementary Surveying: An Introduction to Geomatics. Stephen D. Differential Equations and Linear Algebra. Next page. 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.

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. Customers who viewed this item also viewed. Discovering Statistics Using R. Statistics for the Behavioral Sciences. An Introduction to Categorical Data Analysis. Statistics for Psychology. No customer reviews. How does Amazon calculate star ratings? The machine learned model takes into account factors including: the age of a review, helpfulness votes by customers and whether the reviews are from verified purchases.

Review this product Share your thoughts with other customers. Write a customer review. Most helpful customer reviews on Amazon. Verified Purchase. One of the worst text books I've read to date. Super confusing to understand as the author references synonymous notations back and forth to confuse the reader.

His examples and explanations are hard to follow and understand. This could have been written so much easier to understand, even I could have written it better.

Unfortunately I'm stuck using this book for my class, but thank God my professors lectures explain the material way more clearly for me to understand because reading this book alone would leave me lost. Exercises in this "international edition" are not the same to those of the American one. The text is the same, though. Material is easy to digest. Very easy to understand concepts. Love this book. Very good. The book needs tutorials of how to use web apps. Go to Amazon. Back to top. Get to Know Us.

Shopbop Designer Fashion Brands. Alexa Actionable Analytics for the Web. DPReview Digital Photography.

AYYAPPA NAMAM PDF

Statistical Methods for the Social Sciences, 4th Edition

Would you like to tell us about a lower price? If you are a seller for this product, would you like to suggest updates through seller support? For courses in Statistical Methods for the Social Sciences. Statistical methods applied to social sciences, made accessible to all through an emphasis on concepts Statistical Methods for the Social Sciences introduces statistical methods to students majoring in social science disciplines. With an emphasis on concepts and applications, this book assumes you have no previous knowledge of statistics and only a minimal mathematical background. It contains sufficient material for a two-semester course.

LAS BARRIADAS DE LIMA 1957 PDF

Statistical Methods for the Social Sciences - Pearson Custom Library

He has been teaching statistics there for 35 years, including the development of three courses in statistical methods for social science students and three courses in categorical data analysis. He is author of over refereed article and five texts including "Statistical Methods for the Social Sciences" with Barbara Finlay, Prentice Hall, 4th edition and "Categorical Data Analysis" Wiley, 2nd 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 30 countries worldwide. She has been a member of college faculty in statistics for almost 30 years.

EL EFECTO PIGMALION PDF

Statistical Methods for the Social Sciences by Agresti and Finlay

View larger. The book presents an introduction to statistical methods for students majoring in social science disciplines. No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal lowest-level high-school algebra. It provides good examples with SPSS output. 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. It has met those expectations The main concepts to be understood by students are sampling distribution, confidence interval, p-value, linear regression.

Related Articles