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Statistics for Engineering and the Sciences

ISBN-10: 0131877062
ISBN-13: 9780131877061
Edition: 5th 2007 (Revised)
List price: $108.20 Buy it from $47.55
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Description: This text is designed for a two-semester introductory course in statistics for students majoring in engineering or any of the physical sciences.nbsp; Inevitably, once these students graduate and are employed, they will be involved in the collection  More...

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Book details

List price: $108.20
Edition: 5th
Copyright year: 2007
Publisher: Prentice Hall PTR
Publication date: 7/13/2006
Binding: Hardcover
Pages: 1072
Size: 8.25" wide x 10.00" long x 1.50" tall
Weight: 4.598

This text is designed for a two-semester introductory course in statistics for students majoring in engineering or any of the physical sciences.nbsp; 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.nbsp; 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.

Preface
Introduction
Statistics: The Science of Data
Fundamental Elements of Statistics
Types of Data
The Role of Statistics in Critical Thinking
A Guide to Statistical Methods Presented in This Text
Statistics in Action: Contamination of Fish in the Tennessee River: Collecting the Data
Descriptive Statistics
Graphical and Numerical Methods for Describing Qualitative Data
Graphical Methods for Describing Quantitative Data
Numerical Methods for Describing Quantitative Data
Measures of Central Tendency
Measures of Variation
Measures of Relative Standing
Methods for Detecting Outliers
Distorting the Truth with Descriptive Statistics
Statistics in Action: Characteristics of Contaminated Fish in the Tennessee River, Alabama
Probability
The Role of Probability in Statistics
Events, Sample Spaces, and Probability
Compound Events
Complementary Events
Conditional Probability
Probability Rules for Unions and Intersections
Bayes' Rule (Optional)
Some Counting Rules
Probability and Statistics: An Example
Random Sampling
Statistics in Action: Assessing Predictors of Software Defects in NASA Spacecraft Instrument Code
Discrete Random Variables
Discrete Random Variables
The Probability Distribution for a Discrete Random Variable
Expected Values for Random Variables
Some Useful Expectation Theorems
Bernoulli Trials
The Binomial Probability Distribution
The Multinomial Probability Distribution
The Negative Binomial and the Geometric Probability Distributions
The Hypergeometric Probability Distribution
The Poisson Probability Distribution
Moments and Moment Generating Functions (Optional)
Statistics in Action: The Reliability of a "One-Shot" Device
Continuous Random Variables
Continuous Random Variables
The Density Function for a Continuous Random Variable
Expected Values for Continuous Random Variables
The Uniform Probability Distribution
The Normal Probability Distribution
Descriptive Methods for Assessing Normality
Gamma-Type Probability Distributions
The Weibull Probability Distribution
Beta-Type Probability Distributions
Moments and Moment Generating Functions (Optional)
Statistics in Action: Super Weapons Development-Optimizing the Hit Ratio
Bivariate Probability Distributions and Sampling Distributions
Bivariate Probability Distributions for Discrete Random Variables
Bivariate Probability Distributions for Continuous Random Variables
The Expected Value of Functions of Two Random Variables
Independence
The Covariance and Correlation of Two Random Variables
Probability Distributions and Expected Values of Functions of Random Variables (Optional)
Sampling Distributions
Approximating a Sampling Distribution by Monte Carlo Simulation
The Sampling Distributions of Means and Sums
Normal Approximation to the Binomial Distribution
Sampling Distributions Related to the Normal Distribution
Statistics in Action: Availability of an Up/Down Maintained System
Estimation Using Confidence Intervals
Point Estimators and their Properties
Finding Point Estimators: Classical Methods of Estimation
Finding Interval Estimators: The Pivotal Method
Estimation of a Population Mean
Estimation of the Difference Between Two Population Means: Independent Samples
Estimation of the Difference Between Two Population Means: Matched Pairs
Estimation of a Population Proportion
Estimation of the Difference Between Two Population Proportions
Estimation of a Population Variance
Estimation of the Ratio of Two Population Variances
Choosing the Sample Size
Alternative Interval Estimation Methods: Bootstrapping and Bayesian Methods (Optional)
Statistics in Action: Bursting Strength of PET Beverage Bottles
Tests of Hypotheses
The Relationship Between Statistical Tests of Hypotheses and Confidence Intervals
Elements and Properties of a Statistical Test
Finding Statistical Tests: Classical Methods
Choosing the Null and Alternative Hypotheses
Testing a Population Mean
The Observed Significance Level for a Test
Testing the Difference Between Two Population Means: Independent Samples
Testing the Difference Between Two Population Means: Matched Pairs
Testing a Population Proportion
Testing the Difference Between Two Population Proportions
Testing a Population Variance
Testing the Ratio of Two Population Variances
Alternative Testing Procedures: Bootstrapping and Bayesian Methods (Optional)
Statistics in Action: Comparing Methods for Dissolving Drug Tablets-Dissolution Method Equivalence Testing
Categorical Data Analysis
Categorical Data and Multinomial Probabilities
Estimating Category Probabilities in a One-Way Table
Testing Category Probabilities in a One-Way Table
Inferences About Category Probabilities in a Two-Way (Contingency) Table
Contingency Tables with Fixed Marginal Totals
Exact Tests for Independence in a Contingency Table Analysis (Optional)
Statistics in Action: The Public's Perception of Engineers and Engineering
Simple Linear Regression
Regression Models
Model Assumptions
Estimating [beta subscript 0] and [beta subscript 1]: The Method of Least Squares
Properties of the Least Squares Estimators
An Estimator of [sigma superscript 2]
Assessing the Utility of the Model: Making Inferences About the Slope [beta subscript 1]
The Coefficient of Correlation
The Coefficient of Determination
Using the Model for Estimation and Prediction
A Complete Example
A Summary of the Steps to Follow in Simple Linear Regression
Statistics in Action: Can Dowsers Really Detect Water?
Multiple Regression Analysis
General Form of a Multiple Regression Model
Model Assumptions
Fitting the Model: The Method of Least Squares
Computations Using Matrix Algebra: Estimating and Making Inferences About the Individual [beta] Parameters
Assessing Overall Model Adequacy
A Confidence Interval for E(y) and a Prediction Interval for a Future Value of y
A First-Order Model with Quantitative Predictors
An Interaction Model with Quantitative Predictors
A Quadratic (Second-Order) Model with a Quantitative Predictor
Checking Assumptions: Residual Analysis
Some Pitfalls: Estimability, Multicollinearity, and Extrapolation
A Summary of the Steps to Follow in a Multiple Regression Analysis
Statistics in Action: Bid-Rigging in the Highway Construction Industry
Model Building
Introduction: Why Model Building Is Important
The Two Types of Independent Variables: Quantitative and Qualitative
Models with a Single Quantitative Independent Variable
Models with Two Quantitative Independent Variables
Coding Quantitative Independent Variables (Optional)
Models with One Qualitative Independent Variable
Models with Both Quantitative and Qualitative Independent Variables
Tests for Comparing Nested Models
External Model Validation (Optional)
Stepwise Regression
Statistics in Action: Deregulation of the Intrastate Trucking Industry
Principles of Experimental Design
Introduction
Experimental Design Terminology
Controlling the Information in an Experiment
Noise-Reducing Designs
Volume-Increasing Designs
Selecting the Sample Size
The Importance of Randomization
Statistics in Action: Anticorrosive Behavior of Epoxy Coatings Augmented with Zinc
The Analysis of Variance for Designed Experiments
Introduction
The Logic Behind an Analysis of Variance
One-Factor Completely Randomized Designs
Randomized Block Designs
Two-Factor Factorial Experiments
More Complex Factorial Designs (Optional)
Nested Sampling Designs (Optional)
Multiple Comparisons of Treatment Means
Checking ANOVA Assumptions
Statistics in Action: On the Trail of the Cockroach
Nonparametric Statistics
Introduction: Distribution-Free Tests
Testing for Location of a Single Population
Comparing Two Populations: Independent Random Samples
Comparing Two Populations: Matched-Pairs Design
Comparing Three or More Populations: Completely Randomized Design
Comparing Three or More Populations: Randomized Block Design
Nonparametric Regression
Statistics in Action: Deadly Exposure: Agent Orange and Vietnam Vets
Statistical Process and Quality Control
Total Quality Management
Variable Control Charts
Control Chart for Means: x-Chart
Control Chart for Process Variation: R-Chart
Detecting Trends in a Control Chart: Runs Analysis
Control Chart for Percent Defectives: p-Chart
Control Chart for the Number of Defectives per Item: c-Chart
Tolerance Limits
Capability Analysis (Optional)
Acceptance Sampling for Defectives
Other Sampling Plans (Optional)
Evolutionary Operations (Optional)
Statistics in Action: Testing Jet Fuel Additive for Safety
Product and System Reliability
Introduction
Failure Time Distributions
Hazard Rates
Life Testing: Censored Sampling
Estimating the Parameters of an Exponential Failure Time Distribution
Estimating the Parameters of a Weibull Failure Time Distribution
System Reliability
Statistics in Action: Modeling the Hazard Rate of Reinforced Concrete Bridge Deck Deterioration
Matrix Algebra
Matrices and Matrix Multiplication
Identity Matrices and Matrix Inversion
Solving Systems of Simultaneous Linear Equations
A Procedure for Inverting a Matrix
Useful Statistical Tables
Random Numbers
Cumulative Binomial Probabilities
Exponentials
Cumulative Poisson Probabilities
Normal Curve Areas
Gamma Function
Critical Values for Student's T
Critical Values of x[superscript 2]
Percentage Points of the F Distribution, [alpha] = .10
Percentage Points of the F Distribution, [alpha] = .05
Percentage Points of the F Distribution, [alpha] = .025
Percentage Points of the F Distribution, [alpha] = .01
Percentage Points of the Studentized Range q(p,v), [alpha] = .05
Percentage Points of the Studentized Range q(p,v), [alpha] = .01
Critical Values of T[subscript L] and T[subscript U] for the Wilcoxon Rank Sum Test: Independent Samples
Critical Values of T[subscript 0] for the Wilcoxon Matched-Pairs Signed Rank Test
Critical Values of Spearman's Rank Correlation Coefficient
Critical Values of C for the Theil Zero-Slope Test
Factors Used When Constructing Control Charts
Values of K for Tolerance Limits for Normal Distributions
Sample Size n for Nonparametric Tolerance Limits
Sample Size Code Letters: MIL-STD-105D
A Portion of the Master Table for Normal Inspection (Single Sampling): MIL-STD-105D
SAS for Windows Tutorial
MINITAB for Windows Tutorial
SPSS for Windows Tutorial
References
Selected Short Answers
Credits
Index

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