Coming soon
practical
This paper is designed so that the student get familiar with statistical software for solving the statistical problems based on descriptive statistics and also how to deal and analyses the secondary data statistically.
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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-103 |
Practical |
CO 10: Deal the statistical data through MS EXCEL.
CO 11: Understand how to solve problems related to numeric and statistical data offline.
CO 12: Identify the data and make appropriate graph for them.
CO 13: Able to analyse the secondary data through descriptive statistics. |
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) Preparation of frequency table by using exclusive and inclusive method of classification for continuous/discrete variables.
2) Graphical representation of data by:
a) Histogram
b) Frequency Polygon
c) Curve
d) Ogives
3) Diagrammatic presentation of data by: One Dimensional Diagram (Simple-Bar, Multiple-Bar and Divided) and Pie- diagram.
4) Measures of Central Tendency- Mean Median and Mode.
5) Absolute and relative Measures of Dispersion- Range, Quartile Deviation, Mean Deviation, Standard Deviation, Coefficient of variation.
6) Practical based on Deciles and percentiles.
6) Central and Non central Moments.
7) Measure of Skewness and Kurtosis.
8) A case study on secondary data.
Note: Practical exercises will be conducted on computer by using MS-Excel.
