First Year

Principle of hypothesis testing; Exploratory data analysis; Probability distributions: normal, Poisson, f-distribution, t-distribution, z-distribution, Weibull, Loglinear, loglogistic, circular distribution and chi-square distribution; Linear and multiple correlation and regression; Poisson regression; Logistic regression; Log linear models; Analysis of variance: completely randomized, nested, crossed, factorial, randomized block, split plot; Multiple comparisons: pairwise comparisons, orthogonal comparisons; Non-parametric approaches: Man-Whitney, Kruskall-Wallis, and Friedman’s analysis; Multivariate statistics: discriminant analysis, factor analysis, principal component analysis; Modelling principles; Predictive statistics using General Linear Models (GLM); Application and use of time series analysis, trends analysis (regular, irregular and random movements), moving averages and autocorrelation; Use of computer packages for data analysis.