Introduction to the practice of statistics:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York
Freeman
1993
|
| Ausgabe: | 2. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXIII, 854 S. graph. Darst. |
| ISBN: | 071672250X |
Internformat
MARC
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| 245 | 1 | 0 | |a Introduction to the practice of statistics |c David S. Moore ; George P. McCabe |
| 250 | |a 2. ed. | ||
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Datensatz im Suchindex
| _version_ | 1808044138989355008 |
|---|---|
| adam_text |
Contents
Preface xv
Introduction: What Is Statistics? xxiii
CHAPTER 1
Looking at Data: Distributions 1
1.1 Displaying Distributions 3
Measurement 3
Variation 5
Stemplots 6
Histograms 10
Looking At Data 14
Time Plots 16
Section 1.1 Exercises 20
1.2 Describing Distributions 36
Measuring Center 36
Resistant Measures of Spread 40
The Standard Deviation 46
Changing the Unit of Measurement 49
Section 1.2 Exercises 52
1.3 The Normal Distributions 58
Density Curves 59
Normal Distributions 63
Normal Distribution Calculations 67
Assessing Normality 73
Section 1.3 Exercises 79
Chapter 1 Exercises 86
Chapter 1 Computer Exercises 90
Starred sections are optional.
V
vi Contents
CHAPTER 2
Looking at Data: Relationships 94
2.1 Scatterplots 98
Interpreting Scatterplots 98
Smoothing Scatterplots* 104
Categorical Explanatory Variables 107
Section 2.1 Exercises 109
2.2 Least Squares Regression 117
Fitting a Line to Data 118
Least Squares Regression 121
Residuals 125
Outliers and Influential Observations 131
Section 2.2 Exercises 136
2.3 An Application: Exponential Growth* 147
The Nature of Exponential Growth 147
The Logarithm Transformation 150
Residuals Again 152
Section 2.3 Exercises 156
2.4 Correlation 161
Computing the Correlation 162
Correlation in the Regression Setting 168
Interpreting Correlation and Regression 171
Section 2.4 Exercises 177
2.5 Relations in Categorical Data 183
Analyzing Two Way Tables 184
Simpson's Paradox 188
Section 2.5 Exercises 191
2.6 The Question of Causation 197
Smoking and Lung Cancer 198
Establishing Causation 202
Section 2.6 Exercises 204
Chapter 2 Exercises 206
Chapter 2 Computer Exercises 212
CHAPTER 3
Producing Data 220
3.1 First Steps 223
The Need for Design 223
Sampling 225
Experiments 225
Section 3.1 Exercises 227
Contents vii
3.2 Design of Experiments 228
Comparative Experiments 230
Randomization 233
How to Randomize 235
Cautions about Experimentation 238
Other Experimental Designs 239
Section 3.2 Exercises 243
3.3 Sampling Design 247
Simple Random Samples 248
Other Sampling Designs 249
Cautions about Sample Surveys 251
Section 3.3 Exercises 253
3.4 Toward Statistical Inference 258
Sampling Distributions 259
Bias 261
Variability 262
What about Experiments? 266
Conclusion 266
Section 3.4 Exercises 268
Chapter 3 Exercises 272
Chapter 3 Computer Exercises 276
CHAPTER 4
Probability: The Study of Randomness 278
The Idea of Probability 281
The Uses of Probability 283
4.1 Probability Models 284
Sample Spaces 284
Assigning Probabilities 286
Addition and Multiplication Rules 290
Section 4.1 Exercises 298
4.2 Random Variables 306
Discrete Random Variables 306
Continuous Random Variables 311
Section 4.2 Exercises 317
4.3 Means and Variances of Random Variables 321
The Mean of a Random Variable 321
The Law of Large Numbers 325
Rules for Means 328
The Variance of a Random Variable 330
Rules for Variances 331
Section 4.3 Exercises 335
viii Contents
4.4 Probability Laws* 340
General Addition Rules 341
Conditional Probabilities and General Multiplication Rules 344
Section 4.4 Exercises 354
Chapter 4 Exercises 360
Chapter 4 Computer Exercises 365
CHAPTER 5
From Probability to Inference 368
5.1 Counts and Proportions 371
The Binomial Distributions 372
Binomial Probabilities* 376
Binomial Mean and Variance 379
Sample Proportions 380
Normal Approximation for Proportions and Counts 382
Section 5.1 Exercises 387
5.2 Sample Means 393
The Distribution of a Sample Mean 394
The Central Limit Theorem 398
Section 5.2 Exercises 402
5.3 Control Charts* 408
x Control Charts 409
Out of Control Signals 413
Section 5.3 Exercises 416
Chapter 5 Exercises 421
Chapter 5 Computer Exercises 424
CHAPTER 6
Introduction to Inference 426
6.1 Estimating with Confidence 429
Statistical Confidence 430
Confidence Intervals 432
How Confidence Intervals Behave 437
Section 6.1 Exercises 441
6.2 Tests of Significance 447
The Nature of Significance Testing 449
Tests for a Population Mean 455
Tests with Fixed Significance Level 458
Section 6.2 Exercises 465
6.3 Use and Abuse of Tests 472
Using Significance Tests 472
Contents ix
Abuse of Significance Tests 475
Power* 477
Inference As Decision* 481
Section 6.3 Exercises 487
Chapter 6 Exercises 492
Chapter 6 Computer Exercises 495
CHAPTER 7
Inference for Distributions 498
7.1 Inference for the Mean of a Population 500
The One Sample t Procedures 500
Matched Pairs t Procedures 506
The Power of the t Test* 511
Inference for Nonnormal Populations* 512
Section 7.1 Exercises 518
7.2 Comparing Two Means 529
The Two Sample z Statistic 530
The Two Sample t Procedures 532
The Pooled Two Sample t Procedures* 542
Section 7.2 Exercises 548
7.3 Inference for Population Spread* 557
The F Test 558
Robustness of Normal Inference Procedures 561
Section 7.3 Exercises 564
Chapter 7 Exercises 565
Chapter 7 Computer Exercises 571
CHAPTER 8
Inference for Count Data 574
8.1 Inference for a Single Proportion 576
Confidence Intervals and Significance Tests 576
Choosing A Sample Size 582
Section 8.1 Exercises 586
8.2 Comparing Two Proportions 590
Confidence Intervals 591
Significance Tests 593
Section 8.2 Exercises 596
8.3 Inference for Two Way Tables 600
Describing Relations in Two Way Tables 602
The Chi Square Test 604
Computations 608
x Contents
Models for Two Way Tables* 613
Section 8.3 Exercises 620
Chapter 8 Exercises 624
Chapter 8 Computer Exercises 631
CHAPTER 9
Inference for Regression 636
9.1 Simple Linear Regression 638
Statistical Model For Linear Regression 638
Estimating the Regression Parameters 642
Confidence Intervals and Significance Tests 648
Confidence Intervals For Mean Response 650
Prediction Intervals 652
Analysis of Variance For Regression* 654
Calculations for Regression Inference* 659
Inference for Correlation* 669
Section 9.1 Exercises 674
9.2 Multiple Linear Regression* 686
Statistical Model for Multiple Regression 687
Estimation, Confidence Intervals, and Significance Tests 689
A Case Study 692
Section 9.2 Exercises 705
Chapter 9 Computer Exercises 706
CHAPTER 10
Analysis of Variance 712
10.1 One Way Analysis of Variance 714
Comparing Means 714
The ANOVA Model 720
The ANOVA Table and the F Test 724
Contrasts 735
Multiple Comparisons 742
Power* 747
Section 10.1 Exercises 750
10.2 Two Way Analysis of Variance 761
Advantages of Two Way ANOVA 762
The Two Way ANOVA Model 765
Main Effects and Interactions 766
ANOVA Table for Two Way ANOVA 772
Section 10.2 Exercises 777
Chapter 10 Computer Exercises 783
Contents xi
Data Appendix 791
Table A: Standard Normal Probabilities 798
Table B: Random Digits 800
Table C: Binomial Probabilities 802
Table D: Standard Normal Critical Values 807
Table E: t Distribution Critical Values 808
Table F: F Critical Values 809
Table G: X2 Critical Values 816
Solutions to Odd Numbered Exercises 817
Index 849 |
| any_adam_object | 1 |
| author | Moore, David S. McCabe, George P. |
| author_GND | (DE-588)135745551 (DE-588)12920966X |
| author_facet | Moore, David S. McCabe, George P. |
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| dewey-search | 519.5 519.5 20 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Biologie Mathematik Wirtschaftswissenschaften |
| edition | 2. ed. |
| format | Book |
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| spelling | Moore, David S. Verfasser (DE-588)135745551 aut Introduction to the practice of statistics David S. Moore ; George P. McCabe 2. ed. New York Freeman 1993 XXIII, 854 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Statistiek gtt Statistique mathématique Statistik Mathematical statistics Datenanalyse (DE-588)4123037-1 gnd rswk-swf Datenauswertung (DE-588)4131193-0 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf 1\p (DE-588)4151278-9 Einführung gnd-content 2\p (DE-588)4123623-3 Lehrbuch gnd-content Statistik (DE-588)4056995-0 s DE-604 Datenauswertung (DE-588)4131193-0 s 3\p DE-604 Datenanalyse (DE-588)4123037-1 s 4\p DE-604 McCabe, George P. Verfasser (DE-588)12920966X aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=005334311&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Moore, David S. McCabe, George P. Introduction to the practice of statistics Statistiek gtt Statistique mathématique Statistik Mathematical statistics Datenanalyse (DE-588)4123037-1 gnd Datenauswertung (DE-588)4131193-0 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4123037-1 (DE-588)4131193-0 (DE-588)4056995-0 (DE-588)4151278-9 (DE-588)4123623-3 |
| title | Introduction to the practice of statistics |
| title_auth | Introduction to the practice of statistics |
| title_exact_search | Introduction to the practice of statistics |
| title_full | Introduction to the practice of statistics David S. Moore ; George P. McCabe |
| title_fullStr | Introduction to the practice of statistics David S. Moore ; George P. McCabe |
| title_full_unstemmed | Introduction to the practice of statistics David S. Moore ; George P. McCabe |
| title_short | Introduction to the practice of statistics |
| title_sort | introduction to the practice of statistics |
| topic | Statistiek gtt Statistique mathématique Statistik Mathematical statistics Datenanalyse (DE-588)4123037-1 gnd Datenauswertung (DE-588)4131193-0 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Statistiek Statistique mathématique Statistik Mathematical statistics Datenanalyse Datenauswertung Einführung Lehrbuch |
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