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Introduction to probability and statistics / William Mendenhall III.

By: Mendenhall, William, III [author]Contributor(s): Beaver, Robert [co-author] | Beaver, Barbara [co-author]Material type: Text

TextPublication details: Canada : Cengage Learning, c2013Edition: 14th EditionDescription: xxi, 721 pages ; 26 cmISBN: 9781133111504Subject(s): MATHEMATICAL STATISTICS -- TEXTBOOKS | PROBABILITIES -- TEXTBOOKLOC classification: QA 276 .M46 2013

Contents:

I. Describing data with graphs. -- II. Describing data with numerical measures. -- III. Describing Bivariate Data. -- IV. Probability and Probability Distributions -- V. Several useful discrete distributions. -- VI. The normal probability distribution -- VII. Sampling distributions. -- VIII. Large- sample estimation. -- IX. Large-sample tests of hypotheses. -- X. Inference from small samples. -- XI. The analysis of variance. -- XII. Linear Regression and Correlation. -- XIII. Multiple Regression Analysis. -- XIV. Analysis of categorical data. -- XV. Nonparametric Statistics.

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Item type	Current library	Home library	Collection	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	LRC - Annex	National University - Manila	General Education	General Circulation	GC QA 276 .M46 2013 (Browse shelf (Opens below))	c.1	Available		NULIB000006339

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Previous	GC QA 188 .L57 2013 Schaum's outline linear algebra : 612 fully solved problems 25 problem-solving videos online /	GC QA 21 .D85 1990 Journey through genius : the great theorems of mathematics /	GC QA 276 .M425 1999 Introduction to probability & statistics /	GC QA 276 .M46 2013 Introduction to probability and statistics /	GC QA 276 .S75 1992 Schaum's outline of theory and problems of statistical : SI units /	GC QA 279 .P85 1993 Optimal design of experiments /	GC QA 297 .G47 1994 Applied numerical analysis /	Next

Includes indexes.

I. Describing data with graphs. --
II. Describing data with numerical measures. --
III. Describing Bivariate Data. --
IV. Probability and Probability Distributions --
V. Several useful discrete distributions. --
VI. The normal probability distribution --
VII. Sampling distributions. --
VIII. Large- sample estimation. --
IX. Large-sample tests of hypotheses. --
X. Inference from small samples. --
XI. The analysis of variance. --
XII. Linear Regression and Correlation. --
XIII. Multiple Regression Analysis. --
XIV. Analysis of categorical data. --
XV. Nonparametric Statistics.

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