MTL108: Introduction to Statistics

3 Credits (3-0-0)

Overlaps with: MTL106, MTL390

Measures of central tendency, Dispersion, Skewness, Kurtosis, Data Representation using Histogram, Pie Chart, Boxplot, Biplot, Multi Dimensional Scaling etc. Concept of Random Variable, Some common discrete and continuous distributions, Distribution of Functions of Random Variables, Bivariate and Multivariate random variables. Sampling Distribution, Theory of Estimation, Properties of an estimator, Cramer Rao Theorem, Rao Blackwellization, One-sample and Two sample tests of Proportion, mean, variance, Critical regions, Neyman Pearson Lemma. Tests for Goodness of fit, Chi-square Test, Kolmogorov Smirnov Test, One sample and paired sample tests: Sign Test, Signed-rank Test, Run tests etc. Linear regression, Non-linear regression, Logit and Probit Methods.