ISBN-10:
0122676513
ISBN-13:
9780122676512
Pub. Date:
01/06/2003
Publisher:
Elsevier Science
Statistical Methods / Edition 2

Statistical Methods / Edition 2

by Rudolf J. Freund, William J. Wilson
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Product Details

ISBN-13: 9780122676512
Publisher: Elsevier Science
Publication date: 01/06/2003
Edition description: Subsequent
Pages: 673
Product dimensions: 7.50(w) x 9.40(h) x 1.20(d)

Table of Contents

Prefacexvii
1Data and Statistics1
1.1Introduction1
1.2Observations and Variables6
1.3Types of Measurements for Variables10
1.4Distributions12
1.5Numerical Descriptive Statistics19
1.6Exploratory Data Analysis32
1.7Bivariate Data38
1.8Populations, Samples, and Statistical Inference--A Preview42
1.9Chapter Summary44
1.10Chapter Exercises49
2Probability and Sampling Distributions62
2.1Introduction63
2.2Probability66
2.3Discrete Probability Distributions73
2.4Continuous Probability Distributions81
2.5Sampling Distributions91
2.6Other Sampling Distributions101
2.7Chapter Summary108
2.8Chapter Exercises109
3Principles of Inference117
3.1Introduction117
3.2Hypothesis Testing118
3.3Estimation139
3.4Sample Size144
3.5Assumptions147
3.6Chapter Summary150
3.7Chapter Exercises152
4Inferences on a Single Population159
4.1Introduction159
4.2Inferences on the Population Mean161
4.3Inferences on a Proportion166
4.4Inferences on the Variance of One Population169
4.5Assumptions172
4.6Chapter Summary179
4.7Chapter Exercises180
5Inferences for Two Populations185
5.1Introduction185
5.2Inferences on the Difference between Means Using Independent Samples188
5.3Inferences on Variances197
5.4Inferences on Means for Dependent Samples200
5.5Inferences on Proportions205
5.6Assumptions and Remedial Methods208
5.7Chapter Summary211
5.8Chapter Exercises213
6Inferences for Two or More Means219
6.1Introduction219
6.2The Analysis of Variance221
6.3The Linear Model232
6.4Assumptions236
6.5Specific Comparisons242
6.6Random Models267
6.7Unequal Sample Sizes270
6.8Analysis of Means270
6.9Chapter Summary277
6.10Chapter Exercises279
7Linear Regression287
7.1Introduction287
7.2The Regression Model290
7.3Estimation of Parameters [beta subscript 0] and [beta subscript 1]294
7.4Estimation of [sigma superscript 2] and the Partitioning of Sums of Squares297
7.5Inferences for Regression301
7.6Using the Computer312
7.7Correlation316
7.8Regression Diagnostics319
7.9Chapter Summary324
7.10Chapter Exercises326
8Multiple Regression333
8.1The Multiple Regression Model336
8.2Estimation of Coefficients338
8.3Inferential Procedures351
8.4Correlations362
8.5Using the Computer366
8.6Special Models370
8.7Multicollinearity379
8.8Variable Selection384
8.9Detection of Outliers, Row Diagnostics388
8.10Chapter Summary395
8.11Chapter Exercises399
9Factorial Experiments417
9.1Introduction417
9.2Concepts and Definitions419
9.3The Two-Factor Factorial Experiment422
9.4Specific Comparisons431
9.5No Replications448
9.6Three or More Factors448
9.7Chapter Summary451
9.8Chapter Exercises454
10Design of Experiments461
10.1Introduction462
10.2The Randomized Block Design464
10.3Randomized Blocks with Sampling471
10.4Latin Square Design476
10.5Other Designs480
10.6Chapter Summary492
10.7Chapter Exercises498
11Other Linear Models508
11.1Introduction508
11.2The Dummy Variable Model510
11.3Unbalanced Data514
11.4Computer Implementation of the Dummy Variable Model516
11.5Models with Dummy and Interval Variables517
11.6Extensions to Other Models526
11.7Binary Response Variables527
11.8Chapter Summary542
11.9Chapter Exercises547
12Categorical Data557
12.1Introduction557
12.2Hypothesis Tests for a Multinomial Population558
12.3Goodness of Fit Using the x[superscript 2] Test561
12.4Contingency Tables564
12.5Log linear Model571
12.6Chapter Summary575
12.7Chapter Exercises576
13Nonparametric Methods581
13.1Introduction581
13.2One Sample586
13.3Two Independent Samples588
13.4More Than Two Samples590
13.5Randomized Block Design593
13.6Rank Correlation595
13.7Chapter Summary597
13.8Chapter Exercises599
14Sampling and Sample Surveys602
14.1Introduction602
14.2Some Practical Considerations604
14.3Simple Random Sampling606
14.4Stratified Sampling609
14.5Other Topics616
14.6Chapter Summary617
Appendix A618
A.1The Normal Distribution--Probabilities Exceeding Z618
A.2The t Distribution--Values of t Exceeded with Given Probability623
A.3x[superscript 2] Distribution--x[superscript 2] Values Exceeded with Given Probability624
A.4The F Distribution, p = 0.1625
A.5The F[subscript max] Distribution--Percentage Points of F[subscript max] = s[superscript 2 subscript max]/s[superscript 2 subscript min]635
A.6Orthogonal Polynomials (Tables of Coefficients for Polynomial Trends)636
A.7Percentage Points of the Studentized Range637
A.8Percentage Points of the Duncan Multiple Range Test639
A.9Critical Values for the Wilcoxon Signed Rank Test N = 5(1)50641
A.10The Mann-Whitney Two-Sample Test642
A.11Exact Critical Values for Use with the Analysis of Means643
Appendix BA Brief Introduction to Matrices645
Matrix Algebra646
Solving Linear Exercises649
References651
Solutions to Selected Exercises656
Index668

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