Introduction to probability and statistics / William Mendenhall, Robert J. Beaver, Barbara M. Beaver
By: Mendenhall, William [author]
Contributor(s): Beaver, Barbara M [author] | Beaver, Robert J [author]
Publisher: Andover: Cengage Learning, 2014Edition: Fourteenth editionDescription: xxi, 721 pages : illustrations ; 26 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9789814609210Subject(s): Probabilities | Statistics | Mathematical statisticsDDC classification: 519.2 M522 2014| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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COLLEGE LIBRARY | COLLEGE LIBRARY SUBJECT REFERENCE | 519.2 M522 2014 (Browse shelf) | Available | CITU-CL-45909 |
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| 519.02462 Sp43 1980 Schaum's outline theory and problems of probabilities and statistics | 519.2/4 M318 2003 Partial identification of probability distributions / | 519.2 H6793 2015 Probability and statistical inference / | 519.2 M522 2014 Introduction to probability and statistics / | 519.2 Sci27 2007 Scientists and engineers : guide to probability and statistics / | 519.202462 J6365 2018 Miller & Freund's probability and statistics for engineers / | 519.202462 W165 2014 Probability and statistics for engineers and scientists / |
Ch.1. Describing data with graphs --
Ch.2. Describing data with numerical measures --
Ch.3. Describing bivariate data --
Ch.4. Probability and probability distributions --
Ch.5. Several useful discrete distributions --
Ch.6. The normal probability distribution --
Ch.7. Sampling distributions --
Ch.8. Large-sample estimation --
Ch.9. Large-sample tests of hypotheses --
Ch.10. Inference from small samples --
Ch.11. The analysis of variance --
Ch.12. Linear regression and correlation --
Ch.13. Multiple regression analysis --
Ch.14. Analysis of categorical data --
Ch.15. Nonparametric statistics.
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