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Probability and Statistics for Engineering and the Sciences,9780538733526
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Probability and Statistics for Engineering and the Sciences

by
Edition:
8th
ISBN13:

9780538733526

ISBN10:
0538733527
Format:
Hardcover
Pub. Date:
1/1/2011
Publisher(s):
Cengage Learning
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Customer Reviews

Good reference book  October 21, 2011
by


I used this book for my statistics class at the University of Kentucky. This class was very easy for me, and I honestly didn't even need to use this book very much. When I did use it, it was extremely easy to find what I needed and it was easy to understand. I'm sure this book would be great for anyone who doesn't have a solid foundation of knowledge in statistics. And for those who do, it is a great reference book.






Probability and Statistics for Engineering and the Sciences: 5 out of 5 stars based on 1 user reviews.

Summary

This comprehensive introduction to probability and statistics will give you the solid grounding you need no matter what your engineering specialty. Through the use of lively and realistic examples, the author helps you go beyond simply learning about statistics--you'll also learn how to put the statistical methods to use. In addition, rather than focusing on rigorous mathematical development and potentially overwhelming derivations, PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES emphasizes concepts, models, methodology, and applications that facilitate your understanding.

Table of Contents

Overview And Descriptive Statistics
Populations, Samples, and Processes
Pictorial and Tabular Methods in Descriptive Statistics
Measures of Location
Measures of Variability
Supplementary Exercises
Probability
Sample Spaces and Events
Axioms, Interpretations, and Properties of Probability
Counting Techniques
Conditional Probability
Independence
Supplementary Exercises
Discrete Random Variables And Probability
Random Variables
Probability Distributions for Discrete Random Variables
Expected Values
The Binomial Probability Distribution
Hypergeometric and Negative Binomial Distributions
The Poisson Probability Distribution
Supplementary Exercises
Continuous Random Variables And Probability Distributions
Probability Density Functions
Cumulative Distribution Functions and Expected Values
The Normal Distribution
The Exponential and Gamma Distributions
Other Continuous Distributions
Probability Plots
Supplementary Exercises
Joint Probability Distributions And Random Samples
Jointly Distributed Random Variables
Expected Values, Covariance, and Correlation
Statistics and Their Distributions
The Distribution of the Sample Mean
The Distribution of a Linear Combination
Supplementary Exercises
Point Estimation
Some General Concepts of Point Estimation
Methods of Point Estimation
Supplementary Exercises
Statistical Intervals Based On A Single Sample
Basic Properties of Confidence Intervals
Large-Sample Confidence Intervals for a Population Mean and Proportion
Intervals Based on a Normal Population Distribution
Confidence Intervals for the Variance and Standard Deviation of a Normal Population
Supplementary Exercises
Tests Of Hypotheses Based On A Single Sample
Hypotheses and Test Procedures
Tests About a Population Mean
Tests Concerning a Population Proportion
P-Values
Some Comments on Selecting a TeSt. Supplementary Exercises
Inferences Based On Two Samples
Tests and Confidence Intervals for a Difference Between Two Population Means
The Two-Sample t Test and Confidence Interval
Analysis of Paired Data
Inferences Concerning a Difference Between Population Proportions
Inferences Concerning Two Population Variances
Supplementary Exercises
The Analysis Of Variance
Single-Factor ANOVA
Multiple Comparisons in ANOVA
More on Single-Factor ANOVA
Supplementary Exercises
Multifactor Analysis Of Variance
Two-Factor ANOVA with Kij =
Two-Factor ANOVA with Kij =
Three-Factor ANOVA. 2p Factorial Experiments
Supplementary Exercises
Simple Linear Regression And Correlation
The Simple Linear Regression Model
Estimating Model Parameters
Inferences About the Slope Parameter ?1
Inferences Concerning ?Y-x* and the Prediction of Future Y Values
Correlation
Supplementary Exercises
Nonlinear And Multiple Regression
Aptness of the Model and Model Checking
Regression with Transformed Variables
Polynomial Regression
Multiple Regression Analysis
Other Issues in Multiple Regression
Supplementary Exercises
Goodness-Of-Fit Tests And Categorical Data Analysis
Goodness-of-Fit Tests When Category Probabilities Are Completely Specified
Goodness-of-Fit Tests for Composite Hypotheses
Two-Way Contingency Tables
Supplementary Exercises
Distribution-Free Procedures
The Wilcoxon Signed-Rank TeSt
The Wilcoxon Rank-Sum TeSt
Distribution-Free Confidence Intervals
Distribution-Free ANOVA
Supplementary Exercises
Quality Control Methods
General Comments on Control Charts
Control Charts for Process Location
Control Charts for Process Variation
Control Charts for Attributes
CUSUM Procedures
Acceptance Sampling
Supplementary Exercises
Table of Contents provided by Publisher. All Rights Reserved.


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