Agricultural statistics

Basic Concept

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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.