Coming soon
Practical
This paper is designed so that the student gets familiar with statistical software for solving the statistical problems based on skewness, kurtosis and fitting of population distributions.
Students will be 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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CSTT 202 |
Practical |
CO 16: Deal the statistical data through MS EXCEL.
CO 17: Identify the distribution and fit on the data.
CO 18: Identify the data outliers in the distribution.
CO 19: Obtain the graphical representation of distribution for various sample sizes.
CO 20: Obtain the distribution curve when the parameters values are not given. |
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 |
- Fitting of binomial distributions for n and p = q = ½ and for n and p given.
- Fitting of binomial distributions computing mean and variance
- Fitting of Poisson distributions for n and λ and after estimating the mean.
- Fitting of negative binomial
- Fitting of Suitable distribution
- Application Problems based on Binomial distribution
- Application problems based on Poisson distribution
- Application problems based on negative binomial distribution
- Problems based on Area property of normal distribution
- Application based problems based on normal distribution
- Fitting of normal distribution when parameters are given/ not given
- A case study on secondary data.
Note: Practical exercises will be conducted on the computer by using MS-Excel.
