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Master Math: Probability, by Catherine A. Gorini
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Master Math: Probability is a comprehensive reference guide that explains and clarifies the principles of probability in a simple, easy-to-follow style and format. Beginning with the most basic fundamental topics and progressing through to the more advanced, the book helps clarify probability using step-by-step procedures and solutions, along with examples and applications. A complete table of contents and a comprehensive index enable readers to quickly find specific topics, and the approachable style and format facilitate an understanding of what can be intimidating and tricky skills. Perfect for students studying probability and those who want to brush up on their probability skills.
- Sales Rank: #804316 in Books
- Published on: 2011-03-03
- Released on: 2011-03-03
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x .83" w x 6.00" l, 1.25 pounds
- Binding: Paperback
- 368 pages
Review
1. Introduction to Probability and its Applications. 2. Definition of Probability. 3. Set Theory. 4. Permutations and Combinations. 5. Conditional Probability and Independence. 6. Random Variables. 7. Expected Value and Expectation. 8. The Law of Large Numbers. 9. Distributions. 10. Markov Chains. 11. Axioms of Probability. 12. Applications.
About the Author
Catherine A. Gorini, Ph.D., received her A.B. in mathematics from Cornell University, M.S. and Ph.D. in mathematics from the University of Virginia, and D.W.P. from Maharishi European University. She is Dean of Faculty and Professor of Mathematics at Maharishi University of Management. She is the editor of Geometry at Work and author of Facts On File Geometry Handbook. Her numerous awards for teaching include the Award for Distinguished College or University Teaching of Mathematics from the Mathematical Association of America.
Most helpful customer reviews
1 of 1 people found the following review helpful.
Great book!
By datouyu
This book is a good one to start with for beginners.
Easy to understand and have a good coverage.
It is helpful.
3 of 4 people found the following review helpful.
Great exaplanations
By Diln
I am finishing up chapter 7. Up to this point I have been very satisfied with this book, the explanations are fairly clear and it actually has all the answers for the review problems and a plethora of examples in the text. BUT I stopped working to write this review because now I am getting sick of incorrect answers or mislabeled charts. In Chapter 7 alone, 3 answers are wrong and variables are jumbled in another. If you can find errors like that then this book is fine, but if you're easily confused I would look for something with less mistakes.
Warning: I don't mind reading "dry" books. As a result I often suggest boring books to people. So read some examples and see if you like it; the book is pretty consistant as far as its applications go.
0 of 0 people found the following review helpful.
Few thoughts on Master Math: Probability
By Ingemar Svensson
I read this book and found it a fairly good introduction to probability theory. It gives you a decent grasp of the basic concepts without too many complex equations. For more advanced readers it's probably (no pun intended) not suitable. There also are some factual errors, for example she states that "In a Markov chain, however, the probabilities for the outcome of a trial depend on the result of the previous trial" when in fact a Markov chain does not have memory.
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