- Used Books
- Staff Picks
- Gifts & Gift Cards
- Sell Books
- Stores & Events
- Let's Talk Books
Special Offers see all
More at Powell's
Recently Viewed clear list
Used Trade Paper
Ships in 1 to 3 days
available for shipping or prepaid pickup only
Available for In-store Pickup
in 7 to 12 days
More copies of this ISBN
This title in other editions
Other titles in the Schaum's Outlines series:
Elements of Statistics I (99 Edition)by Schaum
Synopses & ReviewsPlease note that used books may not include additional media (study guides, CDs, DVDs, solutions manuals, etc.) as described in the publisher comments.
Confusing Textbooks? Missed Lectures? Not Enough Time?
Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills.
This Schaum's Outline gives you
Fully compatible with your classroom text, Schaum's highlights all the important facts you need to know. Use Schaum's to shorten your study time-and get your best test scores!
Schaum's Outlines-Problem Solved.
Specially designed for nonmathematics majors, this study guide thoroughly reviews the math needed to understand statistics. And it includes--and solves step by step--scores of the kinds of problems that come up in such fields as anthropology, biology, business, earth sciences, government, medicine, psychology, and sociology. A perfect supplement to the leading textbooks, students will also find this book ideal for independent study. Supplementary questions aid self testing.
About the Author
McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide
Table of Contents
Mathematics Required for Statistics.
Populations, Samples, and Statistics.
Descriptive Statistics: Graphing the Data.
Descriptive Statistics: Measures of Dispersion.
Probability: Rules for Multiplication and Division, Marginal Probabilities and Bayes' Theorem, Tree Diagrams and Counting Rules.
Distribution Functions, and Expected Values.