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Master Math: Probability by PH.D. Gorini, Catherine A: Used

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eBay item number:285019317945
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Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
Book Title
Master Math: Probability
Publication Date
2011-03-11
Pages
304
ISBN
9781435456563
Publication Name
Master Math : Probability
Item Length
8.9in
Publisher
Course Technology
Publication Year
2011
Series
Master Math Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
0.7in
Author
Catherine A. Gorini
Features
New Edition
Item Width
6.1in
Item Weight
20 Oz
Number of Pages
304 Pages

About this product

Product Information

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.

Product Identifiers

Publisher
Course Technology
ISBN-10
1435456564
ISBN-13
9781435456563
eBay Product ID (ePID)
92946892

Product Key Features

Author
Catherine A. Gorini
Publication Name
Master Math : Probability
Format
Trade Paperback
Language
English
Features
New Edition
Publication Year
2011
Series
Master Math Ser.
Type
Textbook
Number of Pages
304 Pages

Dimensions

Item Length
8.9in
Item Height
0.7in
Item Width
6.1in
Item Weight
20 Oz

Additional Product Features

Lc Classification Number
Qa273
Edition Description
New Edition
Reviews
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.
Table of Content
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.
Copyright Date
2012
Target Audience
Scholarly & Professional
Topic
Probability & Statistics / General, General, Algebra / Elementary
Dewey Decimal
519.2
Dewey Edition
22
Genre
Mathematics

Item description from the seller