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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.
Students will able to
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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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STT-126 |
Practical-II |
CO 26: Analyze the various data and ability to fit population distributions on data.
CO 27: Analyze the various data and ability to fit sampling distributions on data.
CO 28: Identify the problem and apply the non-parametric test and large sample test accordingly.
CO 29: Come to the conclusion with minimum data using SPRT.
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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 |
- Plot binomial curve for different values of n and p
- Fitting of binomial distributions when p is known and when p is unknown.
- Fitting of Poisson distribution when λ is known and when λ is unknown.
- Fitting of negative binomial distribution.
- Fitting of Normal distribution
- Calculation of areas under normal curve.
- Small sample tests viz. t, F, Chi- Square.
- Bartlett’s test for homogeneity of variances.
- Test of significance of sample correlation coefficient.
- Sign, median and run tests for small and large samples.
- Kolmogorov- Smirnov one and two sample test.
- Kruskal Wallis K sample test.
- Wilcoxon-Mann-Whitney U test.
- Kendall Tau Test.
- 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.
- Large sample test
Note: Practical exercises will be conducted on computer by using MS-Excel/SPSS/R.
