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The ideal review for your statistics course More than 40 million students have trusted Schaum’s Outlines for their expert knowledge and helpful solved problems. Written by renowned experts in their respective fields, Schaum’s 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. 508 fully worked problems of varying difficulty 694 additional practice problems Complements or supplements the major Statistics textbooks Appropriate for the following courses: Introduction to Statistics, Elementary Statistics, Elementary Statistical Methods, Engineering Statistics, Introduction to Probability and Statistics, Mathematical Statistics, Introduction to Exploratory Data Analysis
Zakup książki
Schaums Outline of Statistics, Murray R. Spiegel, Larry Stephens
- Język
- Rok wydania
- 2011
- Oprawa
- (miękka)
Metody płatności
Brakuje nam tutaj Twojej recenzji.
- Tytuł
- Schaums Outline of Statistics
- Język
- angielski
- Autorzy
- Murray R. Spiegel, Larry Stephens
- Wydawca
- McGraw-Hill
- Rok wydania
- 2011
- Oprawa
- miękka
- Liczba stron
- 600
- ISBN10
- 0071755497
- ISBN13
- 9780071755498
- Seria
- Schaum's Outline
- Kategorie
- Ocena
- 3,75 z 5
- Opis
- The ideal review for your statistics course More than 40 million students have trusted Schaum’s Outlines for their expert knowledge and helpful solved problems. Written by renowned experts in their respective fields, Schaum’s 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. 508 fully worked problems of varying difficulty 694 additional practice problems Complements or supplements the major Statistics textbooks Appropriate for the following courses: Introduction to Statistics, Elementary Statistics, Elementary Statistical Methods, Engineering Statistics, Introduction to Probability and Statistics, Mathematical Statistics, Introduction to Exploratory Data Analysis