Practical

Paper Code: 
STT 403
Credits: 
2
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

This paper is designed so that the student get familiar with statistical software for solving the statistical problems based on non-parametric test, vital statistics, index number, and time series.

Students will be able to:

Course

Learning outcomes (at course level

Learning and teaching strategies

Assessment Strategies

 

Paper Code

Paper Title

STT-403

Practical

CO 54: Deal the statistical data through MS EXCEL.

 

CO 55: Solve problems related to numeric and statistical data offline.

 

CO 56:  Obtained trend and seasonal variations of data by using the concept of time series.

 

CO 57: Solve the problems related to indices and also compare two different situations.

 

CO 58: Perform basic demographic analyses using various techniques and ensure their comparability across populations.

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) Vital Statistics:

a) CDR, CBR, Age specific death rates, standardized death rates.

b) GFR, ASFR, TFR.

c) Crude rate of natural increase GRR, NRR.

d) Life table and finding out certain values with its help.

 

2) Economic Statistics:

a) Laspeyres, Paasche’s and Fisher’s Index Numbers.

b) Fixed base and chain base index number.

c) Cost of Living Index Numbers

 

3) i) Measurement of Trend by method of:

a) Moving Averages.

b) Curve fitting by least squares.

ii) Measurement of seasonal fluctuations:

a) Ratio to Trend

b) Ratio to Moving Averages.

c) Link Relative Method.

 

4) Large sample tests for mean and proportions for one and two sample problems.

 

5) large sample test for attributes.

 

6) Non-Parametric Tests: Sign, Run, Median Tests (for large samples).

 

 

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

 

Academic Year: