1 | 1. Initial steps in the planning of experiments, hypothesis testing | [1] p 1-5; [2] p 1-43 |
2 | 2. Completely randomized plots designs (single grouping), variance analysis in completely randomized design with equal and different repetition. Theoretical | [1] p 6-26; [2] p 95-117 |
3 | 3. Completely randomized plots designs (single grouping), variance analysis in completely randomized design with equal and different repetition. Application | [1] p 11-21; [2] p 95-117 |
4 | 4. Transformations of data (square root, arcsine, logarithmic, box-cox), | [1] p 40-45 |
5 | 5. Implementation of completely randomized block designs (double grouping) and variance analysis, Tukey test. Theoretical | [1] p 51-65; [2] p 117-132 |
6 | 6. Implementation of completely randomized block designs (double grouping) and variance analysis, Tukey test. Application | [1] p 51-65; [2] p 117-132 |
7 | 7. Multiple comparison tests (least significance difference, Student Newman Keuls, Duncan, Tukey, Dunnett ). Theoretical | [1] p 66-72 |
8 | 8. Implementation and analysis of Latin square design. Theoretical | [1] p 79-87; [2] p 117-127 |
9 | 9. Implementation and analysis of Latin square design. Application | [1] p 79-87; [2] p 117-127 |
10 | 10. Factorial experiments design with factors more than two levels. Theoretical | [1] p 122-158; [2] p 148-181 |
11 | 11.Factorial experiments design with factors more than two levels. Application | [1] p 122-158; [2] p 148-181 |
12 | 12. Implementation of the simple split plot design and estimation of incomplete observation | [1] p 159-169; [2] p 293-304 |
13 | 13. Implementation of the simple split plot design and estimation of incomplete observation | [1] p 159-169; [2] p 293-304 |
14 | 14. The split-split plot design | [1] p 170-173; [2] p 305-316 |