Coming soon
Practical
Objective: This paper is designed so that the student get familiar with statistical software for solving the problems based on multivariate data and various mathematical problems.
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-325 |
Practical |
CO 88: Identify and collect relevant data from various sources, including databases, surveys, and web scraping techniques. CO 89: Apply statistical tools to analyze data and address questions. CO 90: Interpret the results of statistical analyses accurately and effectively and develop the ability to draw meaningful conclusions. CO 91: Demonstrate the ability to communicate statistical concepts, methodologies, and findings clearly and concisely both orally and in writing.
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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. Power curve for testing one sided Null Hypothesis against one sided and two sided attentive for
(i) Binomial distribution
(ii) Poisson distribution
(iii) Normal distribution
(iv) Exponential distribution
2. Linear combination of correlated normal variates and evaluation of probabilities.
3. Estimation of mean vector and covariance matrix.
4. Testing of partial and multiple correlation coefficients.
5. Discriminate function.
6. Decision problems under uncertainty and risk.
7. Estimation of parameters of linear model.
8. Estimation of parameters of generalized linear model.
9. Problem based on econometric models.
10. Calculation of coefficient of determination.
11. Testing of model of best fit.
12. Problem based on multicolinearity, heteroscedasticity, autocorrelation.
14. Problem based on Durbin Watson Test.
15. Practical based on the optional paper (STT-324) opted by students.
Note: Practical exercises will be conducted on computer by using MS-Excel/SPSS/R.
