Free Statistical Methods For The Social Sciences (4th Edition) Ebooks To Download
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). The book contains sufficient material for a two-semester sequence of courses. 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.
Hardcover: 624 pages
Publisher: Prentice Hall; 4 edition (January 7, 2008)
Language: English
ISBN-10: 0130272957
ISBN-13: 978-0130272959
Product Dimensions: 8.1 x 1.1 x 10 inches
Shipping Weight: 2.6 pounds (View shipping rates and policies)
Average Customer Review: 3.7 out of 5 stars See all reviews (49 customer reviews)
Best Sellers Rank: #31,843 in Books (See Top 100 in Books) #40 in Books > Business & Money > Education & Reference > Statistics #71 in Books > Science & Math > Mathematics > Applied > Statistics #87 in Books > Textbooks > Science & Mathematics > Mathematics > Statistics
Your typical undergraduate student who is not a fan of mathematics education will find this book intimidating. But that's not really saying much.A student who's not math-phobic will enjoy it. It's not one of those statistics texts that tries to give just the concepts and not the underlying math. This one goes for the math -- which is the foundation of the concepts. (Conceptual explanations in plain English are here too! The book is not pure math. Anyway, statistics is equal parts numbers and reasoning.)The illustrations and diagrams are generally excellent. Each chapter ends with a large selection of questions and exercises (answers to some of these are provided at the back of the book) and a bibliography for further reading. Yes, really useful further reading -- not just academic texts, but popular science magazine articles, biographies of mathematicians, etc.Notation and terms are boxed off within the text, to be clearly noticeable upon review of the chapter. Helpful for studying.Sample computer output is given frequently, which is a nice bonus. Sometimes the output of popular statistics software can seem cryptic to the uninitiated. This initiates people. An appendix covers SAS and SPSS usage for each topic in the textbook.Of course it's up to the reader (or instructor) to choose how much material to cover; you could easily just ignore the last few chapters if you don't need the advanced material. But it's here, which makes this a nice book. (You might want the advanced material SOMEday...
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