Schaum's Outline of Probability Upplaga 2
The ideal review for your probability course
more than 40 million students have trusted schaums outlines for their expert knowledge and helpful solved problems. written by renowned experts in their respective fields, schaums outlines cover everything from math to science, nursing to language. the main feature for all these books is the solved problems. step-by-step, authors walk readers through coming up with solutions to exercises in their topic of choice.
Outline format supplies a concise guide to the standard college course in probability430 solved problemsSupports all the major textbooks for Probability coursesClear, concise explanations of all Probability conceptsAppropriate for the following courses: Elementary Probability & Statistics; Data Analysis; Finite Mathematics; Introduction to Mathematical Statistics; Mathematics for Biological Sciences; Introductory Statistics; Discrete Mathematics; Probability for Applied Science; Introduction to Probability Theory
Upplaga: 2a upplagan
Utgiven: 2011
ISBN: 9780071755610
Förlag: McGraw Hill
Format: Häftad
Språk: Engelska
Sidor: 320 st
The ideal review for your probability course
more than 40 million students have trusted schaums outlines for their expert knowledge and helpful solved problems. written by renowned experts in their respective fields, schaums outlines cover everything from math to science, nursing to language. the main feature for all these books is the solved problems. step-by-step, authors walk readers through coming up with solutions to exercises in their topic of choice.
Outline format supplies a concise guide to the standard college course in probability430 solved problemsSupports all the major textbooks for Probability coursesClear, concise explanations of all Probability conceptsAppropriate for the following courses: Elementary Probability & Statistics; Data Analysis; Finite Mathematics; Introduction to Mathematical Statistics; Mathematics for Biological Sciences; Introductory Statistics; Discrete Mathematics; Probability for Applied Science; Introduction to Probability Theory
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