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Statistics Practical-III
This paper is designed so that the student gets familiar with statistical software for solving the statistical problems based on descriptive statistics and bivariate data.
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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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24STT225 |
Statistics Practical-III (Practical) |
CO 59: Identify and collect relevant data from various sources, including databases, surveys, and web scraping techniques. CO 60: Apply statistical tools to analyze data and address questions. CO 61: Interpret the results of statistical analyses accurately and effectively and develop the ability to draw meaningful conclusions. CO 62: Demonstrate the ability to communicate statistical concepts, methodologies, and findings clearly and concisely both orally and in writing. CO 63: 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:
1. Analysis of Completely Randomized design.
2. Analysis of Randomized Block Design.
3. Analysis of Latin Square Design.
4. Analysis of Strip Plot Design and Spilt plot Design.
5. Analysis of BIBD.
6. Yates method for analysis 2n factorial experiments: n=2,3,4.
7. Total confounding in 2n, n = 3, 4.
8. Partial confounding in 2n, n = 3, 4.
9. 32 factorial experiments.
10. Analysis of covariance in one way classified data and two way classified data.
11. Analysis of RBD, LSD with one and two missing observations.
12. Drawing of random samples from finite populations.
13. Estimation of population mean and estimation of variance in SRS with and without replacement.
14. Estimation of mean and variance in stratified sampling under proportional and optimum allocations.
15. Gain in precision due to stratification.
16. Estimation of mean and variance in systematic sampling and comparison with S.R.S.
17. Estimation of mean and variance in cluster sampling and comparison with S.R.S.
18. PPSWR Sampling: Cumulative total method, Lahri's method of sample selection/section, estimation of total and its variance.
19. Estimation of mean and variance by (i) ratio and (ii) regression methods of estimation.
20. Two-stage sampling method where f.s.u. being selected with pps with replacement and s.s.u. with equal prob. without replacement. Estimation of optimum number of s.u. and s.s.u.
21. Solving linear Programming Problem using graphical method.
22. Solving linear Programming Problem using simplex method.
23. Deterministic Inventory problems.
24. Queuing models M/M/1 and M/M/c.
25. Sequencing problem
26. Pert- CPM
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.
