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1 The Nature of Research 1
2 Principles of Experimental Design 19
3 The Standard Normal Distribution: An Amazing Approximation 45
4 Tests for Means from Random Samples 87
5 Homogeneity and Normality Assumptions 133
6 The Analysis of Variance: One Between-Subjects Factor 165
7 Pairwise Comparisons 191
8 Orthogonal, Planned and Unplanned Comparisons 211
9 The 2[superscript k] Between-Subjects Factorial Experiment 243
10 Between-Subjects Factorial Experiments: Factors with More Than Two Levels 269
11 Between-Subjects Factorial Experiments: Further Considerations 291
12 Within-Subjects Factors: One-Way and 2[superscript k] Factorial Designs 321
13 Within-Subjects Factors: General Designs 349
14 Contrasts on Binomial Data: Between-Subject Designs 371
15 Debriefing 399
Appendix A The Method of Least Squares 411
Appendix B Statistical Tables 419
References 427
Index 435
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Smg Boss
reviewed Data Analysis for Experimental Design on November 23, 2014
Data Analysis for Experimental Design
There are very few books that I actually wish that I would not have wasted my time reading. This is now counted among them.
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Add Data Analysis for Experimental Design, This engaging text shows how statistics and methods work together, demonstrating a variety of techniques for evaluating statistical results against the specifics of the methodological design. Richard Gonzalez elucidates the fundamental concepts involved i, Data Analysis for Experimental Design to your collection on WonderClub |