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Statistics Practical-II
This paper is designed so that the student gets 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 |
Course Outcomes |
Learning and teaching strategies |
Assessment Strategies |
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Course Code |
Course Title |
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24STT126 |
Statistics Practical-II (Practical) |
CO 30: Identify and collect relevant data from various sources, including databases, surveys, and web scraping techniques. CO 31: Apply statistical tools to analyze data and address questions. CO 32: Interpret the results of statistical analyses accurately and effectively and develop the ability to draw meaningful conclusions. CO 33: Demonstrate the ability to communicate statistical concepts, methodologies, and findings clearly and concisely both orally and in writing. CO 34: Contribute effectively in course-specific interaction. |
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, Class Test, Record, Viva-voice. |
List of Practical Exercises:
- 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
- Correlation and regression (multiple and partial).
Note: Practical exercises will be conducted on computer by using MS-Excel/SPSS/R.
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Scheme of Evaluation for Continuous Assessment Practical (30 %) Time Duration: 60 minutes |
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Students are required to attempt 2 questions Out of 3 questions. |
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Experiment 1 |
Experiment 1 |
Practical Record |
Viva Voce |
Attendance |
Total |
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5 |
5 |
10 |
05 |
05 |
30 |
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Scheme of Evaluation for Semester End Examination Practical (70 %) Time Duration: 3 hrs. |
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Students are required to attempt 3 questions Out of 5 questions. |
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Experiment 1 |
Experiment 2 |
Experiment 3 |
VIVA VOICE |
TOTAL |
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20 |
20 |
20 |
10 |
70 |
Note: Scientific calculators are allowed in all papers of continuous assessment and semester end exam.
