Statistics for Engineering and the Sciences Sixth Edition by William Mendenhall, Terry Sincich 9781498728881 149872888X
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Authors:William M. Mendenhall; Terry L. Sincich , Series:Mathematics [12] , Tags:Mathematics; Probability & Statistics; General; Science; Physics; Technology & Engineering; Engineering (General); Automation , Author sort:Mendenhall, William M. & Sincich, Terry L. , Ids:Google; 9781498728850 , Languages:Languages:eng , Published:Published:Dec 2015 , Publisher:Taylor & Francis , Comments:Comments:This text is designed for a two-semester introductory course in statistics for students majoring in engineering or any of the physical sciences. Inevitably, once these students graduate and are employed, they will be involved in the collection and analysis of data and will be required to think critically about the results. Consequently, they need to acquire knowledge of the basic concepts of data description and statistical inference and familiarity with statistical methods they are required to use on the job.
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ISBN 10: 149872888X
ISBN 13: 9781498728881
Author: William M. Mendenhall; Terry L. Sincich
Prepare Your Students for Statistical Work in the Real WorldStatistics for Engineering and the Sciences, Sixth Edition is designed for a two-semester introductory course on statistics for students majoring in engineering or any of the physical sciences. This popular text continues to teach students the basic concepts of data description and statist
Statistics for Engineering and the Sciences Sixth Table of contents:
Chapter 1
Introduction
Chapter 2
Descriptive Statistics
Chapter 3
Probability
Chapter 4
Discrete Random Variables
Chapter 5
Continuous Random Variables
Chapter 6
Bivariate Probability Distributions and Sampling Distributions
Chapter 7
Estimation Using Confidence Intervals
Chapter 8
Tests of Hypotheses
Chapter 9
Categorical Data Analysis
Chapter 10
Simple Linear Regression
Chapter 11
Multiple Regression Analysis
Chapter 12
Model Building
Chapter 13
Principles of Experimental Design
Chapter 14
The Analysis of Variance for Designed Experiments
Chapter 15
Nonparametric Statistics
Chapter 16
Statistical Process and Quality Control
Chapter 17
Product and System Reliability
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