Week 12: Transformations of data Various types of transformation
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Course Material
- Week 1:Detailed Discussion about course and course contents. The Preview of background knowledge about statistics.
- Week 2: Introduction, definition and importance Statistics and scientific method Methods of scientific inquiry
- Week 3: Characteristics of a well planned experiment Steps in experimentation Principles of experimental design
- Week 4: Types and classification of experiments Sources of variation in field experiments Planning and layout of the experiments
- Week 5:Conducting field experiments Observing and collecting data Analyzing and interpreting data
- Week 6: Summarizing results and report writing Publishing results and technology transfer
- Week 7: Probability – Normal distribution t distribution and confidence limit F distribution
- Week 8: ANOVA and t test, ANOVA with two samples A population of mean differences, t test for significance
- Week9: Completely randomized design, layout and randomization Component in ANOVA, steps in ANOVA Mean separation
- Week 10: Randomized complete block design, layout, randomization and ANOVA Mean separation, LSD and multiple range test Planned F test, orthogonal contrast, class comparison, trend comparison
- Week 11:Factorial experiments CRD and RCBD in factorial arrangement
- Week 12: Transformations of data Various types of transformation
- Week 13: Regression and correlation Linear Correlation
- Week 14: Improving precision
- Week 15, Multiple regression and correlation
- Week 16: Analysis of Covarience
- Chapters 16
- Department Agronomy
- Teacher
Dr. Muhammad Mansoor Javaid
