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Probability and statistics for engineering students / Richard L. Scheaffer, Madhuri S. Mulekar and James T. McClave

By: Scheaffer, Richard L [author]Contributor(s): Mulekar, Madhuri S [co-author] | McClave, James T [co-author]Material type: Text

TextPublication details: Singapore : Cengage Learning Asia Pte Ltd, c2012Description: 864 pages : illustrations ; 23 cmISBN: 9789814384100Subject(s): STATISTICS -- TEXTBOOKS | PROBABILITIES -- TEXTBOOKSLOC classification: TA 340 .S34 2012

Contents:

Data collection and exploring univariate distributions -- Exploring bivariate distributions and estimating relations -- Obtaining data -- Probability -- Discrete probability distributions -- Continuous probability distributions -- Multivariate probability distributions -- Statistics, sampling distributions, and control charts -- Estimation -- Hypothesis testing -- Estimation and inference for regression parameters -- Analysis of variance.

Summary: This book is a calculus-based introduction to probability and statistcis for students in engineering, with emphasis on problem solving through the collection and analysis of data.

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Item type	Current library	Home library	Collection	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	LRC - Main	National University - Manila	Gen. Ed. - COE	General Circulation	GC TA 340 .S34 2012 c.1 (Browse shelf (Opens below))	c.1	Available		NULIB000006422
Books	LRC - Main	National University - Manila	Gen. Ed. - COE	General Circulation	GC TA 340 .S34 2012 c.2 (Browse shelf (Opens below))	c.2	Available		NULIB000006989

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Previous	GC TA 330 .S77 2011 c.2 Advanced engineering mathematics /	GC TA 340 .A38 1993 Advanced modern engineering mathematics /	GC TA 340 .S34 2012 c.1 Probability and statistics for engineering students /	GC TA 340 .S34 2012 c.2 Probability and statistics for engineering students /	GC TA 340 .S74 2007 Engineering Statistics a self-teaching guide /	GC TA 340 .W35 2012 Probability and statistics for engineers and scientists /	GC TA 345 .C43 2021 Numerical methods for engineers /	Next

Includes index.

Data collection and exploring univariate distributions --
Exploring bivariate distributions and estimating relations --
Obtaining data --
Probability --
Discrete probability distributions --
Continuous probability distributions --
Multivariate probability distributions --
Statistics, sampling distributions, and control charts --
Estimation --
Hypothesis testing --
Estimation and inference for regression parameters --
Analysis of variance.

This book is a calculus-based introduction to probability and statistcis for students in engineering, with emphasis on problem solving through the collection and analysis of data.

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