PREV

• 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