Practical

Paper Code: 
CSTT 102
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 descriptive statistics and also how to deal and analyze the secondary data statistically.

Students will be able to:

Course

Learning outcomes (at course level

Learning and teaching strategies

Assessment Strategies

Paper Code

Paper Title

CSTT 102

Practical 

CO 6: Deal the statistical data through MS EXCEL.

 

CO 7: Learn how to solve problems related to numeric and statistical data offline.

 

CO 8: Identify the data and make appropriate graphs for them.

 

CO 9: Analyze the secondary data through descriptive statistics.

 

CO 10: Obtain and interpret the correlation and regression by various methods.

Approach in teaching:

 

Interactive Lectures,

Group Discussion,

Classroom Assignment

Problem Solving Sessions

 

Learning activities for the students:

 

Assignments

Seminar

Presentation

Subject based  Activities

Classroom Quiz

Assignments

Class Test

Individual Presentation

 

 

 

  1. Problems based on graphical representation of data: Histograms (equal class intervals and unequal class intervals), Frequency polygon, Ogive curve. 
  2. Problems based on measures of central tendency using raw data, grouped data and for change of origin and scale. 
  3. Problems based on measures of dispersion using raw data, grouped data and for change of origin and scale. 
  4. Problems based on combined mean and variance and coefficient of variation 
  5. Problems based on Moments using raw data, grouped data and for change of origin and scale. 
  6. Relationships between moments about origin and central moments 
  7. Problems based on Skewness and kurtosis  
  8. Karl Pearson correlation coefficient (with/ without change of scale and origin). 
  9. Lines of regression, angle between lines and estimated values of variables
  10. Lines of regression and regression coefficients 
  11. Spearman rank correlation with /without ties
  12. Fitting of parabola and exponential curves 

 

 

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

 

Academic Year: 
2023-2024
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