Book description
This bestselling engineering statistics text provides a practical approach that is more oriented to engineering and the chemical and physical sciences than many similar texts. It is packed with unique problem sets that reflect realistic situations engineers will encounter in their working lives. This text shows how statistics, the science of data is just as important for engineers as the mechanical, electrical, and materials sciences.
Table of contents
 Cover Page
 Title Page
 Copyright
 Preface
 Contents
 1: The Role of Statistics in Engineering
 2: Probability

3: Discrete Random Variables and Probability Distributions
 31 Discrete Random Variables
 32 Probability Distributions and Probability Mass Functions
 33 Cumulative Distribution Functions
 34 Mean and Variance of a Discrete Random Variable
 35 Discrete Uniform Distribution
 36 Binomial Distribution
 37 Geometric and Negative Binomial Distributions
 38 Hypergeometric Distribution
 39 Poisson Distribution

4: Continuous Random Variables and Probability Distributions
 41 Continuous Random Variables
 42 Probability Distributions and Probability Density Functions
 43 Cumulative Distribution Functions
 44 Mean and Variance of a Continuous Random Variable
 45 Continuous Uniform Distribution
 46 Normal Distribution
 47 Normal Approximation to the Binomial and Poisson Distributions
 48 Exponential Distribution
 49 Erlang and Gamma Distributions
 410 Weibull Distribution
 411 Lognormal Distribution
 412 Beta Distribution
 5: Joint Probability Distributions
 6: Descriptive Statistics
 7: Point Estimation of Parameters and Sampling Distributions

8: Statistical Intervals for a Single Sample
 Introduction
 81 Confidence Interval on the Mean of a Normal Distribution, Variance Known
 82 Confidence Interval on the Mean of a Normal Distribution, Variance Unknown
 83 Confidence Interval on the Variance and Standard Deviation of a Normal Distribution
 84 LargeSample Confidence Interval for a Population Proportion
 85 Guidelines for Constructing Confidence Intervals
 8.6 Bootstrap Confidence Interval
 87 Tolerance and Prediction Intervals

9: Tests of Hypotheses for a Single Sample
 INTRODUCTION
 91 Hypothesis Testing
 92 Tests on the Mean of a Normal Distribution, Variance Known
 93 Tests on the Mean of a Normal Distribution, Variance Unknown
 94 Tests on the Variance and Standard Deviation of a Normal Distribution
 95 Tests on a Population Proportion
 96 Summary Table of Inference Procedures for a Single Sample
 97 Testing for Goodness of Fit
 98 Contingency Table Tests
 99 Nonparametric Procedures
 910 Equivalence Testing
 911 Combining P Values

10: Statistical Inference for Two Samples
 101 Inference on the Difference in Means of Two Normal Distributions, Variances Known
 102 Inference on the Difference in Means of two Normal Distributions, Variances Unknown
 103 A Nonparametric Test for the Difference in Two Means
 104 Paired t Test
 105 Inference on the Variances of Two Normal Distributions
 106 Inference on Two Population Proportions
 107 Summary Table and Road Map for Inference Procedures for Two Samples

11: Simple Linear Regression and Correlation
 111 Empirical Models
 112 Simple Linear Regression
 113 Properties of the Least Squares Estimators
 114 Hypothesis Tests in Simple Linear Regression
 115 Confidence Intervals
 116 Prediction of New Observations
 117 Adequacy of the Regression Model
 118 Correlation
 119 Regression on Transformed Variables
 1110 Logistic Regression
 12: Multiple Linear Regression
 13: Design and Analysis of SingleFactor Experiments: The Analysis of Variance
 14: Design of Experiments with Several Factors

15: Statistical Quality Control
 Bowl of beads
 151 Quality Improvement and Statistics
 152 Introduction to Control Charts
 153 and R or S Control Charts
 154 Control Charts for Individual Measurements
 155 Process Capability
 156 Attribute Control Charts
 157 Control Chart Performance
 158 TimeWeighted Charts
 159 Other SPC ProblemSolving Tools
 1510 Decision Theory
 1511 Implementing SPC
 Appendices
 Glossary
 Index
 Index of Applications in Examples and Exercises
Product information
 Title: Applied Statistics and Probability for Engineers, 6th Edition
 Author(s):
 Release date: November 2013
 Publisher(s): Wiley
 ISBN: 9781118539712
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