Probability and statistics / Kevin J. Hastings.
Publisher: [S.l.] : Addison Wesley, 1996Edition: 1st edDescription: 768 p. ; 25 cmISBN: 0201592789; 9780201592788Subject(s): Science/Mathematics | Science & Mathematics: Textbooks & Study Guides | Mathematical Statistics | Probabilities | Probability & statistics | Textbooks | Mathematics | Mathematics / Probability & Statistics / General | Probability & Statistics - GeneralDDC classification: 519.2 Online resources: Amazon.com | Amazon customer reviews Summary: Probability and Statistics is a rigorous yet student-oriented introduction to the ideas and results of probability and mathematical statistics. Taking an interactive approach, this text involves the reader through the use of self-check questions, laboratory investigations, and research projects. This text incorporates more matrix algebra and vector calculus than its competitors, and provides fuller coverage of graphical methods in data analysis. Hastings invites students to be active learners, using the tools of their mathematical backgrounds to both analyze and present graphically the principles of probability and statistics.| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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Central Library (CL) | Central Library (CL) | 519.2 HAS (Browse shelf) | Available | NBS2323 | ||
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Central Library (CL) | Central Library (CL) | 519.2 HAS (Browse shelf) | Available | NBS2321 | ||
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Central Library (CL) | Central Library (CL) | 519.2 HAS (Browse shelf) | Available | NBS2322 |
Paperback.
Probability and Statistics is a rigorous yet student-oriented introduction to the ideas and results of probability and mathematical statistics. Taking an interactive approach, this text involves the reader through the use of self-check questions, laboratory investigations, and research projects. This text incorporates more matrix algebra and vector calculus than its competitors, and provides fuller coverage of graphical methods in data analysis. Hastings invites students to be active learners, using the tools of their mathematical backgrounds to both analyze and present graphically the principles of probability and statistics.
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