Probability and Statistics for Engineers and Scientists (3 STU SOL)

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Probability and Statistics for Engineers and Scientists (3 STU SOL)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 200 p.
  • 言語 ENG,ENG
  • 商品コード 9780495107583
  • DDC分類 620

Table of Contents

    Probability Theory                             7  (20)
Probabilities 7 (1)
Events 8 (3)
Combinations of Events 11 (2)
Conditional Probability 13 (4)
Probabilities of Event Intersections 17 (4)
Posterior Probabilities 21 (2)
Counting Techniques 23 (4)
Random Variables 27 (24)
Discrete Random Variables 27 (3)
Continuous Random Variables 30 (3)
The Expectation of a Random Variable 33 (3)
The Variance of a Random Variable 36 (3)
Jointly Distributed Random Variables 39 (5)
Combinations and Functions of Random 44 (7)
variables
Discrete Probability Distributions 51 (10)
The Binomial Distribution 51 (3)
The Geometric and Negative Binomial 54 (2)
Distributions
The Hypergeometric Distribution 56 (2)
The Poisson Distribution 58 (1)
The Multinomial Distribution 59 (2)
Continuous Probability Distributions 61 (10)
The Uniform Distribution 61 (2)
The Exponential Distribution 63 (2)
The Gamma Distribution 65 (2)
The Weibull Distribution 67 (1)
The Beta Distribution 68 (3)
The Normal Distribution 71 (14)
Probability Calculations 71 (4)
Linear Combinations of Normal Random 75 (3)
Variables
Approximating Distributions 78 (3)
Distributions Related to the Normal 81 (4)
Distribution
Descriptive Statistics 85 (6)
Experimentation 85 (2)
Data Presentation 87 (1)
Sample Statistics 88 (3)
Statistical Estimation 91 (8)
Properties of Point Estimates 91 (2)
Sampling Distributions 93 (4)
Constructing Parameter Estimates 97 (2)
Inferences on a Population Mean 99 (10)
Confidence Intervals 99 (4)
Hypothesis Testing 103(6)
Comparing Two Population Means 109(10)
Analysis of Paired Samples 109(3)
Analysis of Independent Samples 112(7)
Discrete Data Analysis 119(20)
Inferences on a Population Proportion 119(5)
Comparing Two Population Proportions 124(5)
One-way Contingency Tables 129(5)
Two-way Contingency Tables 134(5)
The Analysis of Variance 139(14)
One Factor Analysis of Variance 139(7)
Randomized Block Designs 146(7)
Simple Linear Regression and Correlation 153(14)
The Simple Linear Regression Model 153(2)
Fitting the Regression Line 155(2)
Inferences on the Slope Parameter β1 157(2)
Inferences on the Regression Line 159(1)
Prediction Intervals for Future Response 160(2)
Values
The Analysis of Variance Table 162(2)
Residual Analysis 164(1)
Variable Transformations 165(1)
Correlation Analysis 166(1)
Multiple Linear Regression 167(10)
Introduction to Multiple Linear Regression 167(2)
Examples of Multiple Linear Regression 169(2)
Matrix Algebra Formulation 171(4)
Evaluating Model Accuracy 175(2)
Multifactor Experimental Design 177(4)
Experiments with Two Factors 177(2)
Experiments with Three or More Factors 179(2)
Nonparametric Statistical Analysis 181(8)
The Analysis of a Single Population 181(3)
Comparing Two Populations 184(2)
Comparing Three or More Populations 186(3)
Quality Control Methods 189(6)
Statistical Process Control 189(2)
Variable Control Charts 191(2)
Attribute Control Charts 193(1)
Acceptance Sampling 194(1)
Reliability Analysis and Life Testing 195
System Reliability 195(2)
Modeling Failure Rates 197(2)
Life Testing 199