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Practical
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.
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Course |
Learning outcomes (at course level |
Learning and teaching strategies |
Assessment Strategies
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Paper Code |
Paper Title |
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STT-403 |
Practical |
CO 52: Deal the statistical data through MS EXCEL.
CO 53: Understand how to solve problems related to numeric and statistical data offline.
CO 54: Able to obtained trend and seasonal variations of data based on time series.
CO 55: Solve the problems related to indices and also compare two different situations.
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Approach in teaching:
Interactive Lectures, Group Discussion, Classroom Assignment Problem Solving Sessions
Learning activities for the students:
Assignments Seminar Presentation Subject based Activities
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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.
Note: Practical exercises will be conducted on computer by using MS-Excel and
C-language1) 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.
