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[정답] 이공학도를 위한 확률과 통계 3판 (저자 Hayter, 3ed- Probability and Statistics fo…

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CONTENTS 5


13.2 Examples of Multiple Linear Regression . . . . . . . . . . . . . . . . . . . . . . . 320
12.8 Variable Transformations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303
1.6 Posterior Probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28
9.6 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218
8.1 Confidence Intervals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183
15.1 The Analysis of a Single Population . . . . . . . . . . . . . . . . . . . . . . . . . 343

3
5.4 Distributions Related to the Normal Distribution . . . . . . . . . . . . . . . . . . 144
6.2 Data Presentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159
15.4 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 354
10.4 Testing for Independence in Two-way Contingency Tables . . . . . . . . . . . . . 246
2.5 Jointly Distributed Random Variables . . . . . . . . . . . . . . . . . . . . . . . . 68
4.1 The Uniform Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113
1 Probability Theory 7
순서
13.6 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 328
1.2 Events . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
16 Quality Control Methods 359
레포트 > 공학,기술계열
4.3 The Gamma Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119

16.4 Attribute Control Charts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363
9 Comparing Two Population Means 205
8.2 Hypothesis Testing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189
4.5 The Beta Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123

12.6 The Analysis of Variance Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . 300
2.1 Discrete Random Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49

10 Discrete Data Analysis 225
17.4 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 374
2.4 The Variance of a Random Variable . . . . . . . . . . . . . . . . . . . . . . . . . 62
[솔루션] 이공학도를 위한 확률과 통-1161_01_.gif [솔루션] 이공학도를 위한 확률과 통-1161_02_.gif [솔루션] 이공학도를 위한 확률과 통-1161_03_.gif [솔루션] 이공학도를 위한 확률과 통-1161_04_.gif [솔루션] 이공학도를 위한 확률과 통-1161_05_.gif

3 Discrete Probability Distributions 95
12.11Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 306
3.7 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109
7.6 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177
6 Descriptive Statistics 157
14 Multifactor Experimental Design and Analysis 333
14.3 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 340
13.3 Matrix Algebra Formulation of Multiple Linear Regression . . . . . . . . . . . . . 322
5.2 Linear Combinations of Normal Random Variables . . . . . . . . . . . . . . . . . 135
5.3 Approximating Distributions with the Normal Distribution . . . . . . . . . . . . 140
3.4 The Poisson Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105
4 Continuous Probability Distributions 113
6.3 Sample Statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161

11.4 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 281

5.1 Probability Calculations using the Normal Distribution . . . . . . . . . . . . . . 129
17 Reliability Analysis and Life Testing 367
4.2 The Exponential Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116
7 Statistical Estimation and Sampling Distributions 167
7.2 Properties of Point Estimates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167

16.6 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 365
2.8 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86
16.2 Statistical Process Control . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359

14.1 Experiments with Two Factors . . . . . . . . . . . . . . . . . . . . . . . . . . . . 333
9.3 Analysis of Independent Samples . . . . . . . . . . . . . . . . . . . . . . . . . . . 209
Contents
3.2 The Geometric and Negative Binomial Distributions . . . . . . . . . . . . . . . . 99
5 The Normal Distribution 129
6.1 Experimentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157

Download : [솔루션] 이공학도를 위한 확률과 통.pdf( 33 )


1.5 Probabilities of Event Intersections . . . . . . . . . . . . . . . . . . . . . . . . . . 22

2 Random Variables 49
4.7 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125
[정답] 이공학도를 위한 확률과 통계 3판 (저자 Hayter, 3ed- Probability and Statistics for Engineers and Scientists)
3.3 The Hypergeometric Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . 102

2.3 The Expectation of a Random Variable . . . . . . . . . . . . . . . . . . . . . . . 58
13.1 Introduction to Multiple Linear Regression . . . . . . . . . . . . . . . . . . . . . 317
17.1 System Reliability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 367
15 Nonparametric Statistical Analysis 343
12.3 Inferences on the Slope Parameter ˆ 1 . . . . . . . . . . . . . . . . . . . . . . . . . 292
6.6 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164
10.2 Comparing Two Population Proportions . . . . . . . . . . . . . . . . . . . . . . . 232
12.1 The Simple Linear Regression Model . . . . . . . . . . . . . . . . . . . . . . . . . 287

3.1 The Binomial Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95

4.4 The Weibull Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121
12.9 Correlation Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 305
10.3 Goodness of Fit Tests for One-way Contingency Tables . . . . . . . . . . . . . . . 240
솔루션, 통계, 확률, 수리, 통계학, 수학
11.2 Randomized Block Designs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273

12.4 Inferences on the Regression Line . . . . . . . . . . . . . . . . . . . . . . . . . . . 296
14.2 Experiments with Three or More Factors . . . . . . . . . . . . . . . . . . . . . . 336

13.4 Evaluating Model Accuracy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327
1.1 Probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

10.1 Inferences on a Population Proportion . . . . . . . . . . . . . . . . . . . . . . . . 225
설명
11.1 One Factor Analysis of Variance . . . . . . . . . . . . . . . . . . . . . . . . . . . 263
8 Inferences on a Population Mean 183
12.5 Prediction Intervals for Future Response Values . . . . . . . . . . . . . . . . . . . 298
15.3 Comparing Three or More Populations . . . . . . . . . . . . . . . . . . . . . . . . 350

12.2 Fitting the Regression Line . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 289
2.6 Combinations and Functions of Random variables . . . . . . . . . . . . . . . . . . 77
5.6 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148
8.5 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 196
1.4 Conditional Probability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
17.2 Modeling Failure Rates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369
1.9 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
9.2 Analysis of Paired Samples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205
15.2 Comparing Two Populations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 347
12 Simple Linear Regression and Correlation 287
4 CONTENTS
17.3 Life Testing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 372
11 The Analysis of Variance 263
16.3 Variable Control Charts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 361
13 Multiple Linear Regression and Nonlinear Regression 317
7.4 Constructing Parameter Estimates . . . . . . . . . . . . . . . . . . . . . . . . . . 176
12.7 Residual Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 302
3.5 The Multinomial Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107
2.2 Continuous Random Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54
16.5 Acceptance Sampling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 364

1.3 Combinations of Events . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
7.3 Sampling Distributions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 170
10.6 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251
1.7 Counting Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
다.
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