Practical

Paper Code: 
CSTT 202
Credits: 
2
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

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:

Course

Learning outcomes (at course level

Learning and teaching strategies

Assessment Strategies

 

Paper Code

Paper Title

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

 

  1. Fitting of binomial distributions for n and p = q = ½ and for n and p given.
  2. Fitting of binomial distributions computing mean and variance
  3. Fitting of Poisson distributions for  n and λ and after estimating the mean.
  4. Fitting of negative binomial
  5. Fitting of Suitable distribution
  6. Application Problems based on Binomial distribution
  7. Application problems based on Poisson distribution
  8. Application problems based on negative binomial distribution
  9. Problems based on Area property of normal distribution
  10. Application based problems based on normal distribution
  11. Fitting of normal distribution when parameters are given/ not given
  12. A case study on secondary data.

Note: Practical exercises will be conducted on the computer by using MS-Excel.

 

Academic Year: 
2023-2024
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