Course Archives Statistical Quality Control & Operations Research Unit
Course: Statistics for Decision Making II
Level: Postgraduate
Time: Currently not offered
Past Exams

Syllabus: Introduction: Principles of Statistical Inference. Formulation of the problems with examples.
Estimation: Point estimation, Estimator and Estimate, Criteria for good estimates Unbiasedness, Consistency, Efficiency and Sufficiency, Illustrations. Methods of estimation of Parameters of standard distributions. Interval estimation by examples Confidence internals of the parameters of the standard distributions. Estimation using Statistical Software.
Testing hypothesis: Formulation of the problem and concepts for evaluation of tests, Illustrations. Statistic, Sampling distributions of statistic and its Standard Error. Large sample tests in one and two sample problems of standard probability distributions, Statement of central limit theorem, Determination of sample size. Simple linear regression and correlation and corresponding confidence intervals. Transformation of statistics to stabilize the residual plots. Assessment of the model. Fitting of nonlinear regression using transformation. Analysis of categorical data. Pearsonian chisquare and its applications. Test of hypothesis using Statistical Software.
Linear Statistical Models: Definition of linear model, interactions with illustrations. One way and two way analysis of variance. ANOVA using Statistical Software.
Nonparametric Inference: Comparison with parametric inference, Use of order statistics. Sign test, Wilcoxon signed rank test, Mann Whitney test, Run test, Kolmogorov Smirnov test. Spearmans and Kendalls test.
Usage of statistical software

Reference Texts:

Top of the page

Past Exams
15.pdf 16.pdf 17.pdf 18.pdf 19.pdf 20.pdf 22.pdf 23.pdf 24.pdf
15.pdf 16.pdf 17.pdf 18.pdf 19.pdf 21.pdf 22.pdf 23.pdf
Supplementary and Back Paper

Top of the page

[Indian Statistical Institute]