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practical
This paper is designed so that the student get familiar with statistical software for solving the statistical problems based on fitting of population distributions, bivariate population, fitting of different curves.
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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-203 |
Practical |
CO 25: Deal the statistical data through MS EXCEL.
CO 26: Understand how to solve problems related to numeric and statistical data offline.
CO 27: Identify the distribution and fit on the data and also find the outliers.
CO 28: Able to obtain the correlation and regression by various modes.
CO 29: ability to analyse the association between two attributes having different classes. |
Approach in teaching:
Interactive Lectures, Group Discussion, Classroom Assignment Problem Solving Sessions
Learning activities for the students:
Assignments Seminar Presentation Subject based Activities
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Software based Assignments Individual Presentation Class Test |
1. Exercise on raw and central moments and finding measures of central tendency, dispersion, Skewness and kurtosis of Univariate probability distributions with interpretation.
2. Fitting of Binomial distribution
3. Fitting of Poisson distribution
4. Fitting of Normal distribution.
4. Fitting of the following curves by the method of least squares:
a) Straight Line
b) Parabola
c) Exponential Curve
d) Power Curve
5. Computation of Correlation Coefficient and rank correlation.
6. Fitting of Regression lines.
7. Estimation of one or two missing values.
8. Interpolation for equal intervals by: Newton-Gregory formula (forward & backward).
9. Interpolation for equal intervals: Lagrange’s formula.
10. Testing of Independence of Attributes.
11. Yule’s Coefficient of Association of Attributes.
Note: Practical exercises will be conducted on computer by using MS-Excel.
