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Practical-II
This paper is designed so that the student get familiar with statistical software for solving the statistical problems based on fitting of probability distributions, application of parametric and non-parametric test.
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Course |
Learning outcomes (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Paper Code |
Paper Title |
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STT126 |
Practical-II (Practical)
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The students will be able to –
CO27: Analyse the various data and ability to fit various distributions on data.
CO28: Able to identify the problem and apply the test accordingly.
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Approach in teaching: Interactive Lectures, Group Discussion, Classroom Assignment Problem Solving Sessions
Learning activities for the students: Assignments Seminar Presentation Subject based Activities. |
Software based Assignments Individual Presentation Class Test |
1. Plot binomial curve for different values of n and p
2. Fitting of binomial distributions when p is known and when p is unknown.
3. Fitting of Poisson distribution when λ is known and when λ is unknown.
4. Fitting of negative binomial distribution.
5. Fitting of Normal distribution
6. Calculation of areas under normal curve.
7. Small sample tests viz. t, F, Chi- Square.
8. Bartlett’s test for homogeneity of variances.
9. Test of significance of sample correlation coefficient.
10. Sign, median and run tests for small and large samples.
11. Kolmogorov- Smirnov one and two sample test.
12. Kruskal Wallis K sample test.
13. Wilcoxon-Mann-Whitney U test.
14. Kendall Tau Test.
15. Sequential probability ratio test and calculation of constants and graphical representation for testing simple null against simple alternative for (i) Binomial (ii) Poisson (iii) Normal (iv) Exponential distributions.
16. Large sample test
Note: Practical exercises will be conducted on computer by using MS-Excel/SPSS/R.
