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Table of content: PART 1: INTRODUCTION.
1. Statistics and the Scientific Method.
PART 2: COLLECTING DATA.
2. Using Surveys and Scientific Studies to Collect Data.
PART 3: SUMMARIZING DATA.
3. Data Description.
4. Probability And Probability Distributions.
PART 4: ANALYZING DATA, INTERPRETING THE ANALYSES, AND COMMUNICATING RESULTS.
5. Inferences about Population Central Values.
6. Inferences Comparing Two Population Central Values.
7. Inferences about Population Variances.
8. Inferences About More Than Two Population Central Values
9. Multiple Comparisons.
10. Categorical Data.
PART 5: ANALYZING DATA: REGRESSION METHODS AND MODEL BUILDING.
11. Linear Regression and Correlation.
12. Multiple Regression and the General Linear Model.
13. Further Regression Topics.
PART 6: DESIGN OF EXPERIMENTS AND ANALYSIS OF VARIANCE.
14. Analysis of Variance for Completely Randomized Designs.
15. Analysis of Variance for Blocked Designs.
16. Analysis of Covariance.
17. Analysis of Variance for Some Fixed-, Random-, and Mixed-Effects Models.
18. Split-Plot, Repeated Measures, and Crossover Designs.
19. Analysis of Variance for Some Unbalanced Designs.
PART 7: COMMUNICATING AND DOCUMENTING THE RESULTS OF ANALYSES
20. Communicating and Documenting the Results of a Study or Experiment.
Product Details: Language: English
ISBN-10: 1305269470
ISBN-13: 978-1305269477
ISBN-13: 9781305269477
Author: R. Lyman Ott, Micheal T. Longnecker
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