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[솔루션] 이工學(공학) 도를 위한 확률과 통계 3판 (저자 Hayter, 3ed- Probability and Statis…

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Download : [솔루션] 이공학도를 위한 확률과 통.pdf




10.1 Inferences on a Population Proportion . . . . . . . . . . . . . . . . . . . . . . . . 225
6.1 Experimentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157
13.1 Introduction to Multiple Linear Regression . . . . . . . . . . . . . . . . . . . . . 317
8.5 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 196
7 Statistical Estimation and Sampling Distributions 167

5.6 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148
5.1 Probability Calculations using the Normal Distribution . . . . . . . . . . . . . . 129
14.2 Experiments with Three or More Factors . . . . . . . . . . . . . . . . . . . . . . 336
7.2 Properties of Point Estimates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167
13.6 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 328
12.5 Prediction Intervals for Future Response Values . . . . . . . . . . . . . . . . . . . 298
9.3 Analysis of Independent Samples . . . . . . . . . . . . . . . . . . . . . . . . . . . 209
2.1 Discrete Random Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
12.9 Correlation Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 305



3.2 The Geometric and Negative Binomial Distributions . . . . . . . . . . . . . . . . 99
7.4 Constructing Parameter Estimates . . . . . . . . . . . . . . . . . . . . . . . . . . 176
17.3 Life Testing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 372

16.2 Statistical Process Control . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359
[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
17.1 System Reliability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 367
6.6 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164
5.2 Linear Combinations of Normal Random Variables . . . . . . . . . . . . . . . . . 135

12.3 Inferences on the Slope Parameter ˆ 1 . . . . . . . . . . . . . . . . . . . . . . . . . 292
3
11 The Analysis of Variance 263

17.2 Modeling Failure Rates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369
3 Discrete Probability Distributions 95
1.4 Conditional Probability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
4.1 The Uniform Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113
8 Inferences on a Population Mean 183
솔루션, 통계, 확률, 수리, 통계학, 수학
15.1 The Analysis of a Single Population . . . . . . . . . . . . . . . . . . . . . . . . . 343
15.4 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 354

12.2 Fitting the Regression Line . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 289
2 Random Variables 49
12.1 The Simple Linear Regression Model . . . . . . . . . . . . . . . . . . . . . . . . . 287

14.1 Experiments with Two Factors . . . . . . . . . . . . . . . . . . . . . . . . . . . . 333
2.2 Continuous Random Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54
Contents
10.6 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251
15.2 Comparing Two Populations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 347
12.4 Inferences on the Regression Line . . . . . . . . . . . . . . . . . . . . . . . . . . . 296
순서
9 Comparing Two Population Means 205
4.7 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125
10.3 Goodness of Fit Tests for One-way Contingency Tables . . . . . . . . . . . . . . . 240
4 CONTENTS
4.4 The Weibull Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121
레포트 > 공학,기술계열



3.5 The Multinomial Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107
5.4 Distributions Related to the Normal Distribution . . . . . . . . . . . . . . . . . . 144

6.2 Data Presentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159
11.2 Randomized Block Designs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273
14.3 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 340
CONTENTS 5
3.4 The Poisson Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105
13 Multiple Linear Regression and Nonlinear Regression 317
10.2 Comparing Two Population Proportions . . . . . . . . . . . . . . . . . . . . . . . 232

17 Reliability Analysis and Life Testing 367
13.4 Evaluating Model Accuracy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327
15 Nonparametric Statistical Analysis 343
13.3 Matrix Algebra Formulation of Multiple Linear Regression . . . . . . . . . . . . . 322
8.2 Hypothesis Testing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189
3.3 The Hypergeometric Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . 102
16.4 Attribute Control Charts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363
12.8 Variable Transformations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303
3.1 The Binomial Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95
2.8 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86
1.3 Combinations of Events . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
2.4 The Variance of a Random Variable . . . . . . . . . . . . . . . . . . . . . . . . . 62
4.5 The Beta Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123
1.2 Events . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
2.5 Jointly Distributed Random Variables . . . . . . . . . . . . . . . . . . . . . . . . 68
15.3 Comparing Three or More Populations . . . . . . . . . . . . . . . . . . . . . . . . 350
1.9 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
12.11Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 306

1.7 Counting Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
5 The Normal Distribution 129
7.3 Sampling Distributions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 170

12.7 Residual Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 302
11.4 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 281
3.7 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109
11.1 One Factor Analysis of Variance . . . . . . . . . . . . . . . . . . . . . . . . . . . 263
9.6 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218
12.6 The Analysis of Variance Table . . . . . . . . . . . . . . . . . . . . . . . . . . . . 300
14 Multifactor Experimental Design and Analysis 333
9.2 Analysis of Paired Samples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205
7.6 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177
1.1 Probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
1.6 Posterior Probabilities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28
6.3 Sample Statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161
설명
13.2 Examples of Multiple Linear Regression . . . . . . . . . . . . . . . . . . . . . . . 320

10 Discrete Data Analysis 225
2.6 Combinations and Functions of Random variables . . . . . . . . . . . . . . . . . . 77
[솔루션] 이工學(공학) 도를 위한 확률과 통계 3판 (저자 Hayter, 3ed- Probability and Statistics for Engineers and Scientists)
16.3 Variable Control Charts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 361
4 Continuous Probability Distributions 113
17.4 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 374

16.6 Supplementary Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 365
1 Probability Theory 7
16.5 Acceptance Sampling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 364

4.2 The Exponential Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116
5.3 Approximating Distributions with the Normal Distribution . . . . . . . . . . . . 140

4.3 The Gamma Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119
2.3 The Expectation of a Random Variable . . . . . . . . . . . . . . . . . . . . . . . 58
6 Descriptive Statistics 157
12 Simple Linear Regression and Correlation 287

Download : [솔루션] 이공학도를 위한 확률과 통.pdf( 59 )


16 Quality Control Methods 359
10.4 Testing for Independence in Two-way Contingency Tables . . . . . . . . . . . . . 246
1.5 Probabilities of Event Intersections . . . . . . . . . . . . . . . . . . . . . . . . . . 22
8.1 Confidence Intervals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183
다.
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