Tough Test Questions? Missed Lectures? Not Enough Time?
Fortunately, there's Schaum's. This all-in-one-package includes more than 750 fully solved problems, examples, and practice exercises to sharpen your problem-solving skills. Plus, you will have access to 20 detailed videos featuring Math instructors who explain how to solve the most commonly tested problems--it's just like having your own virtual tutor! You'll find everything you need to build confidence, skills, and knowledge for the highest score possible.
More than 40 million students have trusted Schaum'sto help them succeed in the classroom and on exams.
Schaum's is the key to faster learning and highergrades in every subject. Each Outline presents all theessential 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
897 fully solved problems Concise explanations of all course fundamentals Information on conditional probability andindependence, random variables, binominal and normal distributions, sampling distributions, and analysis of variance
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.
By:
John Schiller,
R. Alu Srinivasan,
R. Srinivasan,
Murray Spiegel
Imprint: Schaum Outline Series
Country of Publication: United States
Edition: 4th Revised edition
Dimensions:
Height: 274mm,
Width: 211mm,
Spine: 21mm
Weight: 644g
ISBN: 9780071795579
ISBN 10: 007179557X
Pages: 432
Publication Date: 15 November 2012
Audience:
College/higher education
,
Primary
Format: Paperback
Publisher's Status: Active
Part I: Probability 1. Basic Probability 2. Random Variables and Probability Distributions 3. Mathematical Expectation 4. Special Probability DistributionsPart II: Statistics 5. Sampling Theory 6. Estimation Theory 7. Tests of Hypotheses and Significance 8. Curve Fitting, Regression, and Correlation 9. Analysis of Variance 10. Nonparametric Tests
John J. Schiller is an associate professor of mathematics at Temple University. He received his Ph.D. at the University of Pennsylvania. R. Alu Srinivasan is a professor of mathematics at Temple University. He received his Ph.D. at Wayne State University and has published extensively in probability and statistics. Murray R. Spiegel (deceased) received the M.S. degree in physics and the Ph.D. in mathematics from Cornell University. He had positions at Harvard University, Columbia University, Oak Ridge and Rensselaer Polytechnic Institute, and served as a mathematical consultant at several large companies. His last position was professor and chairman of Mathematics at the Rensselaer Polytechnic Institute, Hartford Graduate Center.
