Statistics Practical-II

Paper Code: 
24CSTT202
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.

Course

Course Outcomes

Learning and teaching strategies

Assessment Strategies

Course Code

Course Title

24CSTT202

Statistics Practical-II

(Practical)

CO 18: Identify and collect relevant data from various sources, including databases, surveys, and web scraping techniques. 

CO 19: Apply statistical tools to analyze data and address questions. 

CO 20: Interpret the results of statistical analyses accurately and effectively and develop the ability to draw meaningful conclusions.

CO 21: Demonstrate the ability to communicate statistical concepts, methodologies, and findings clearly and concisely both orally and in writing.

CO 22: Contribute effectively in course-specific interaction.

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 Exercises,

Class Test,

Individual Presentation,

Record,

Viva-voice.

List of Practical Exercises:

 

  1. Problems based on moments using raw data, grouped data and for change of origin and scale. 
  2. Relationships between moments about origin and central moments 
  3. Problems based on Skewness and kurtosis 
  4. Fitting of binomial distributions for n and p = q = ½ and for n and p given.
  5. Fitting of binomial distributions computing mean and variance
  6. Fitting of Poisson distributions for n and λ and after estimating the mean.
  7. Fitting of negative binomial distribution
  8. Fitting of hypergeometric distribution
  9. Application Problems based on Binomial distribution
  10. Application problems based on Poisson distribution
  11. Application problems based on negative binomial distribution
  12. Problems based on Area property of normal distribution
  13. Application based problems based on normal distribution
  14. Fitting of normal distribution when parameters are given/ not given
  15. A case study on primary data using descriptive statistics.

 

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

 

Scheme of Evaluation for Continuous Assessment

Practical (30 %)

Time Duration: 60 minutes

Students are required to attempt 2 questions Out of 3 questions.

Experiment 1

Experiment 1

 Practical Record

Viva Voce

Attendance

Total

5

5

10

05

05

30

 

Scheme of Evaluation for Semester End Examination

Practical (70 %)

Time Duration: 3 hrs.

Students are required to attempt 2 questions Out of 4 questions.

Experiment 1

Experiment 2

Project

VIVA VOICE

TOTAL

20

20

20

10

70

 

Note: Scientific calculators are allowed in all papers of continuous assessment and semester end exam.

 

Academic Year: 
2024-2025
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