Industrial Statistics

Definition and scope; sources of animal husbandry and dairy statistic. Measures of central tendency, Measures of dispersion, Mome skewness and kurtosis. Elementary notions of probability, Laws of addition and multiplication probability. Theoretical frequency distributions : Binomial distributions and applications, Poisson distribution and is applications, Nor distribution and its applications. Concepts of sampling methods- Simple random sampling, stratifyrandom sampling, cluster sampling, systematic sampling. Introduction to testing of hypotheses, Tests of significance-Z, t2, a, F tests, and their application in the field of dairying. Analysis of variance- One way and two way classification. Simple correlation coefficient and its test of significance, Line regression, rank correlation. Basic concepts of statistical quality control, Control charts for variables and attributes, Fundamental concepts of acceptance sampling plan.