DESCRIPTION OF COURSES

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AS 561 STATISTICAL METHODS                       (2L+1P)

Objective
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.

Theory

UNIT I
Descriptive Statistics- exploratory data analysis techniques. Random variable.

UNIT II
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.

UNIT III
Exact sampling distributions. Central t, χ2 and F distributions. Bivariate normal distribution - conditional and marginal.

UNIT IV
Correlation, rank correlation, correlation ratio, intra-class correlation. Regression analysis, partial and multiple correlation and regression.

Practicals
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.

Suggested Readings