History of Statistics, Applications of Binomial, Negative Binomial, Geometric, Hypergeometric, Poisson, Normal, Exponential, chi-square, t & F distributions. Statistical Inference, Estimation of Parameters and Testing of Hypothesis, Simple and Composite Hypothesis, Level of Significance and Power of Test, O.C Curve, Determination of Probabilities of Type-1 & Type-2 Errors, p-value, Inference about means, proportions, variances & associated power curves, Determination of sample size.

Analysis of linear regression models, Testing of Hypothesis about Simple and Multiple regression coefficients, simple correlation, multiple and partial correlation upto three variables. Detection and study of outliers.

Analysis of Categorized data, Homogeneity of Variances, Bartlett Test, Partitioning of chi-square in a 2*2 table, Fisher's Exact test, Log-linear models and their application.

Nonparametric Methods: The sign test, Wilcoxon signed rank test, Mann Witney U test, Run test, Test of goodness of fit, Test of randomness, Kruskal Wallis test, Friedman test.

Note: I (Muhammad Mushtaq) design These Course Contents when I taught M.Sc Statistics Class at University of Arid Agriculture, Rawalpindi, Pakistan on October, 1998 & October 1999.

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