Credits: 4 (3-1-0)
Prerequisites: MTL106
Overlaps with: MTL108
Description
Basic concepts and Data Visualization: Measures of central tendency, Dispersion, Skewness, Kurtosis, Data Representation using Histogram, Pie Chart, Boxplot, Biplot, Multi Dimensional Scaling etc. Revision of Probability Distribution: Emphasis on Normal, Chi-Square, Student’s T, F distributions; Order Statistics: Different Order Statistics and their single and joint Distribution; Sampling Distribution of Mean, Variance; Generation of Random Numbers following certain distributions; Theory of Estimation (Point and Interval)Properties of an estimator, MVUE, BLUE, Cramer-Rao Inequality, Rao-Blackwell Theorem; Testing of Hypothesis: Mean and Variance, Confidence Interval, Neyman- Pearson Lemma; Non-Parametric Methods Run Tests, Rank Tests, Signed Rank Tests, Kruskal Wallis Test, Kolmogorov-Smirnov Test etc.; Regression Analysis Linear Regression, Multiple Regression, Logit, Probit, Regression.
Prerequisite Tree
flowchart TD
MTL390-613[MTL390]
MTL390-613 --> MTL106-613[MTL106]
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