DESCRIPTION OF COURSES
AS 561 STATISTICAL METHODS (2L+1P)
This course is meant for students who do not have sufficient background of Statistical Methods. The students would be exposed to concepts of statistical methods that would help them in understanding the importance of statistics. It would also help them in understanding the concepts involved in data presentation, analysis and interpretation. The students would get an exposure to presentation of data, probability distributions, parameter estimation.
Descriptive Statistics- exploratory data analysis techniques. Random variable.
Discrete probability distributions: Uniform, Bernoulli, binomial, Poisson, negative - binomial, geometric, hypergeometric, multinomial. Continuous probability distributions: rectangular, exponential, Cauchy, normal, gamma, beta, Weibull, lognormal, logistic, Pareto.
Exact sampling distributions. Central t, χ2 and F distributions. Bivariate normal distribution - conditional and marginal.
Correlation, rank correlation, correlation ratio, intra-class correlation. Regression analysis, partial and multiple correlation and regression.
Exercises on Descriptive Statistics and exploratory data analysis. Fitting of discrete distributions, Fitting of continuous distributions, Computation of simple, multiple and partial correlation coefficient, correlation ratio and intra-class correlation, fitting of regression equations.