Practical

Paper Code: 
CSTT 402
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 sample selection, comparing efficiency and design of experiment.

 

Students will be able to:

Course

Learning outcomes (at course level

Learning and teaching strategies

Assessment Strategies

Paper Code

Paper Title

CSTT 402

 

Practical

CO 36: Solve the samplings related problems and also do various comparisons between them.

 

CO 37: Compare systematic sampling with stratified sampling and SRS in the presence of a linear trend and evaluate their relative efficiencies.

 

CO 38: Analyze the population and solve the numerical problems using various designs of experiments.

 

CO 39: Deal with non-existing and missing population values.

 

CO 40: Solve the problem using Ms excel.

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. To select a SRS with and without replacement
  2. For a population of size 5, estimate population mean, population mean square and population variance. Enumerate all possible samples of size 2 by with replacement and without replacement and establish all properties relative to SRS
  3. For srswor, estimate mean, standard error, the sample size
  4. Stratified Sampling: allocation of sample to strata by proportional and Neyman’s methods Compare the efficiencies of above two methods relative to SRS
  5. Estimation of gain in precision in stratified sampling
  6. Comparison of systematic sampling with stratified sampling and SRS in the presence of a linear trend
  7. Analysis of one way ANOVA.
  8. Analysis of two-way ANOVA.
  9. Analysis of a CRD, RBD.
  10. A video presentation on statistical Techniques.

 

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

Academic Year: