Further methods for discrete data: examples and formulation - binomial, multinomial and Poisson distributions.  Comparison of two binomials; McNeyman’s test for matched pairs; theory and transformations of variables; multiple linear regression; selection of variables ; use of dummy variables.    Introduction to logistic regression and generalized linear modeling.  Non-parametric methods.  Use of least squares principle; estimation of contrasts, two-way crossed classified data.