Statistical Sleuth A Course in Methods of Data Analysis

Name: Statistical Sleuth A Course in Methods of Data Analysis
Price: 6.74 USD
Availability: InStock
ISBN: 9780534253806

ISBN-10: 0534253806

ISBN-13: 9780534253806

Edition: 1st 1997

Authors: Fred L. Ramsey, Daniel W. Schafer

List price: $109.95

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Book details

List price: $109.95
Edition: 1st
Copyright year: 1997
Publisher: Wadsworth
Publication date: 10/30/1996
Binding: Hardcover
Pages: 816
Size: 8.00" wide x 10.00" long x 1.75" tall
Weight: 2.596
Language: English

Drawing Statistical Conclusions	p. 1
Case Studies	p. 2
Statistical Inference and Study Design	p. 5
Measuring Uncertainty in Randomized Experiments	p. 10
Measuring Uncertainty in Observational Studies	p. 14
Related Issues	p. 16
Summary	p. 22
Exercises	p. 22
Conceptual Exercises	p. 22
Computational Exercises	p. 24
Answers to Conceptual Exercises	p. 26
Inference Using t-Distributions	p. 28
Case Studies	p. 29
One-Sample t-Tools and the Paired t-Test	p. 31
A t-Ratio for Two-sample Inference	p. 37
Inferences in a Two-Treatment Randomized Experiment	p. 44
Related Issues	p. 46
Summary	p. 49
Exercises	p. 50
Conceptual Exercises	p. 50
Computational Exercises	p. 51
Data Problems	p. 52
Answers to Conceptual Exercises	p. 54
A Closer Look at Assumptions	p. 56
Case Studies	p. 57
Robustness of the Two-Sample t-Tools	p. 60
Resistance of the Two-Sample t-Tools	p. 64
Practical Strategies for the Two-Sample Problem	p. 65
Transformations of the Data	p. 68
Related Issues	p. 73
Summary	p. 74
Exercises	p. 75
Conceptual Exercises	p. 75
Computational Exercises	p. 77
Data Problems	p. 81
Answers to Conceptual Exercises	p. 82
Alternatives to the t-Tools	p. 85
Case Studies	p. 86
The Rank-Sum Test	p. 89
Other Alternatives for Two Independent Samples	p. 95
Alternatives for Paired Data	p. 99
Related Issues	p. 101
Summary	p. 104
Exercises	p. 105
Conceptual Exercises	p. 105
Computational Exercises	p. 106
Data Problems	p. 108
Answers to Conceptual Exercises	p. 111
Comparisons Among Several Samples	p. 113
Case Studies	p. 114
Comparing Any Two of the Several Means	p. 119
The One-Way Analysis of Variance F-Test	p. 121
More Applications of the Extra-Sum-of-Squares F-Test	p. 127
Robustness and Model Checking	p. 130
Related Issues	p. 133
Summary	p. 140
Exercises	p. 141
Conceptual Exercises	p. 141
Computational Exercises	p. 141
Data Problems	p. 146
Answers to Conceptual Exercises	p. 147
Linear Combinations and Multiple Comparisons of Means	p. 149
Case Studies	p. 150
Inferences About Linear Combinations of Group Means	p. 152
Simultaneous Inferences	p. 159
Some Multiple Comparison Procedures	p. 161
Related Issues	p. 165
Summary	p. 168
Exercises	p. 168
Conceptual Exercises	p. 168
Computational Exercises	p. 169
Data Problems	p. 171
Answers to Conceptual Exercises	p. 172
Simple Linear Regression: A Model for the Mean	p. 174
Case Studies	p. 175
The Simple Linear Regression Model	p. 178
Least Squares Regression Estimation	p. 181
Inferential Tools	p. 186
Related Issues	p. 192
Summary	p. 195
Exercises	p. 196
Conceptual Exercises	p. 196
Computational Exercises	p. 196
Data Problems	p. 202
Answers to Conceptual Exercises	p. 205
A Closer Look at Assumptions for Simple Linear Regression	p. 206
Case Studies	p. 207
Robustness of Least Squares Inferences	p. 210
Graphical Tools for Model Assessment	p. 212
Interpretation After Log Transformations	p. 215
Assessment of Fit Using the Analysis of Variance	p. 217
Related Issues	p. 221
Summary	p. 225
Exercises	p. 226
Conceptual Exercises	p. 226
Computational Exercises	p. 227
Data Problems	p. 230
Answers to Conceptual Exercises	p. 233
Multiple Regression	p. 235
Case Studies	p. 236
Regression Coefficients	p. 240
Specially Constructed Explanatory Variables	p. 243
A Strategy for Data Analysis	p. 250
Graphical Methods for Data Exploration and Presentation	p. 251
Related Issues	p. 256
Summary	p. 257
Exercises	p. 258
Conceptual Exercises	p. 258
Computational Exercises	p. 260
Data Problems	p. 264
Answers to Conceptual Exercises	p. 265
Inferential Tools for Multiple Regression	p. 267
Case Studies	p. 268
Inferences About Regression Coefficients	p. 271
Extra-Sums-of-Squares F-Tests	p. 280
Related Issues	p. 285
Summary	p. 291
Exercises	p. 292
Conceptual Exercises	p. 292
Computational Exercises	p. 294
Data Problems	p. 299
Answers to Conceptual Exercises	p. 302
Model Checking and Refinement	p. 304
Case Studies	p. 305
Residual Plots	p. 310
A Strategy for Dealing with Influential Observations	p. 313
Case-Influence Statistics	p. 316
Refining the Model	p. 321
Related Issues	p. 328
Summary	p. 330
Exercises	p. 331
Conceptual Exercises	p. 331
Computational Exercises	p. 332
Data Problems	p. 335
Answers to Conceptual Exercises	p. 337
Strategies for Variable Selection	p. 338
Case Studies	p. 339
Specific Issues Relating to Many Explanatory Variables	p. 345
Sequential Variable Selection Techniques	p. 350
Model Selection Among All Subsets	p. 354
Posterior Beliefs About Different Models	p. 358
Analysis of the Sex Discrimination Data	p. 358
Related Issues	p. 362
Summary	p. 366
Exercises	p. 367
Conceptual Exercises	p. 367
Computational Exercises	p. 268
Data Problems	p. 370
Answers to Conceptual Exercises	p. 372
The Analysis of Variance for Two-Way Classifications	p. 374
Case Studies	p. 375
Additive and Nonadditive Models for Two-Way Tables	p. 378
Analysis of the Seaweed Grazer Data	p. 382
Analysis of the Pygmalion Data	p. 392
Related Issues	p. 398
Summary	p. 403
Exercises	p. 404
Conceptual Exercises	p. 404
Computational Exercises	p. 404
Data Problems	p. 407
Answers to Conceptual Exercises	p. 408
Multifactor Studies Without Replication	p. 409
Case Studies	p. 410
Strategies for Analyzing Tables with One Observation per Cell	p. 414
Analysis of the Chimpanzee Learning Times Study	p. 415
Analysis of the Soybean Data	p. 421
Related Issues	p. 427
Summary	p. 431
Exercises	p. 432
Conceptual Exercises	p. 432
Computational Exercises	p. 432
Data Problems	p. 433
Answers to Conceptual Exercises	p. 435
Adjustment for Serial Correlation	p. 436
Case Studies	p. 437
Comparing the Means of Two Time Series	p. 439
Regression After Transformation in the AR(1) Model	p. 445
Determining if Serial Correlation is Present	p. 448
Diagnostic Procedures for Judging the Adequacy of the AR(1) Model	p. 450
Related Issues	p. 454
Summary	p. 455
Exercises	p. 456
Conceptual Exercises	p. 456
Computational Exercises	p. 456
Data Problems	p. 458
Answers to Conceptual Exercises	p. 461
Repeated Measures and Other Multivariate Responses	p. 462
Case Studies	p. 463
Tools and Strategies for Analyzing Repeated Measures	p. 466
Comparing the Means of Bivariate Responses in Two Groups	p. 471
One-Sample Analysis with Bivariate Responses	p. 479
Related Issues	p. 483
Related Issues	p. 486
Summary	p. 488
Exercises	p. 489
Conceptual Exercises	p. 489
Computational Exercises	p. 490
Data Problems	p. 494
Answers to Conceptual Exercises	p. 496
Exploratory Tools for Summarizing Multivariate Responses	p. 497
Case Studies	p. 498
Linear Combinations of Variables	p. 502
Principal Components Analysis	p. 504
Canonical Correlations Analysis	p. 511
Introduction to Other Multivariate Tools	p. 515
Summary	p. 521
Exercises	p. 522
Conceptual Exercises	p. 522
Computational Exercises	p. 524
Data Problems	p. 525
Answers to Conceptual Exercises	p. 528
Comparisons of Proportions or Odds	p. 529
Case Studies	p. 530
Inferences for the Difference of Two Proportions	p. 533
Inference About the Ratio of Two Odds	p. 538
Inference from Retrospective Studies	p. 542
Summary	p. 545
Exercises	p. 546
Conceptual Exercises	p. 546
Computational Exercises	p. 548
Data Problems	p. 550
Answers to Conceptual Exercises	p. 550
More Tools for Tables of Counts	p. 552
Case Studies	p. 553
Population Models for 2 x 2 Tables of Counts	p. 555
The Chi-Squared Test	p. 559
Fisher's Exact Test: The Randomization (Permutation) Test for 2 x 2 Tables	p. 562
Combining Results from Several Tables with Equal Odds Ratios	p. 566
Related Issues	p. 570
Summary	p. 571
Exercises	p. 572
Conceptual Exercises	p. 572
Computational Exercises	p. 573
Data Problems	p. 576
Answers to Conceptual Exercises	p. 577
Logistic Regression for Binary Response Variables	p. 579
Case Studies	p. 580
The Logistic Regression Model	p. 583
Estimation of Logistic Regression Coefficients	p. 587
The Drop-In-Deviance Test	p. 592
Strategies for Data Analysis Using Logistic Regression	p. 595
Analyses of Case Studies	p. 596
Related Issues	p. 600
Summary	p. 601
Exercises	p. 602
Conceptual Exercises	p. 602
Computational Exercises	p. 603
Data Problems	p. 605
Answers to Conceptual Exercises	p. 608
Logistic Regression for Binomial Counts	p. 609
Case Studies	p. 610
Logistic Regression for Binomial Responses	p. 614
Model Assessment	p. 615
Inferences about Logistic Regression Coefficients	p. 618
Extra-Binomial Variation	p. 621
Analysis of Moth Predation Data	p. 624
Related Issues	p. 627
Summary	p. 636
Exercises	p. 637
Conceptual Exercises	p. 637
Computational Exercises	p. 638
Data Problems	p. 640
Answers to Conceptual Exercises	p. 642
Log-Linear Regression for Poisson Counts	p. 644
Case Studies	p. 645
Log-Linear Regression for Poisson Responses	p. 648
Model Assessment	p. 651
Inferences about Log-Linear Regression Coefficients	p. 654
Extra-Poisson Variation and the Log-Linear Model	p. 656
Related Issues	p. 660
Summary	p. 662
Exercises	p. 663
Conceptual Exercises	p. 663
Computational Exercises	p. 664
Data Problems	p. 665
Answers to Conceptual Exercises	p. 668
Elements of Research Design	p. 669
Case Study	p. 670
Considerations in Forming Research Objectives	p. 670
Research Design Tool Kit	p. 671
Design Choices that Affect Accuracy and Precision	p. 674
Choosing a Sample Size	p. 678
Steps in Designing a Study	p. 680
Related Issue--A Factor of Four	p. 687
Summary	p. 688
Exercises	p. 689
Conceptual Exercises	p. 689
Study Designs for Discussion	p. 689
Computational Exercises	p. 690
Data Problems	p. 691
Answers to Conceptual Exercises	p. 692
Factorial Treatment Arrangements and Blocking Designs	p. 693
Case Study	p. 694
Treatments	p. 695
Factorial Arrangement of Treatment Levels	p. 697
Blocking	p. 706
Summary	p. 710
Exercises	p. 711
Conceptual Exercises	p. 711
Computational Exercises	p. 713
Data Problems	p. 713
Answers to Conceptual Exercises	p. 713
Tables	p. 715
Probabilities of the Standard Normal Distribution	p. 716
Selected Percentiles of t-Distributions	p. 718
Selected Percentiles of Chi-Squared Distributions	p. 719
Selected Percentiles of F-Distributions	p. 720
Selected Percentiles of Studentized Range Distributions	p. 728
Bibliography	p. 732
Index	p. 734
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