Agricultural statistics
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Agricultural statistics
- Variables,
- Frequency distribution,
- Measures of location and variation and shape characteristics of curves.
Random experiment: outcome, sample space, events. - Laws of probability. probability distribution.
Probability function. - Simple correlation and regression: Pearson’s correlation coefficient, least squares
method for fitting regression line. - Population and sample, null and alternative hypotheses; Level of significance.
- Basic steps for testing hypothesis.
- Statistical tests: Significance of correlation and regression coefficients, independence of attributes.
- Statistical Quality Control.: Product control vs. process control,
Problems and principles of statistical quality control. - Construction of different types of control chart.
- Producer’s risk and consumer’s risk, OC and ASN functions. Experimental design: Basic concepts and
principles.