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Practical
This paper is designed so that the student gets familiar with statistical software for solving the statistical problems based on time series data. This paper is design to help the students in the field of forecasting and monitoring the data points by applying suitable model to time series data.
Students will be able to:
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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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DSTT 802(C) |
Practical |
CO 125: Deal the statistical data through MS EXCEL, SPSS and R.
CO 126: Predict the time series data using different measures of time series.
CO 127: Apply knowledge acquired from their major to real world models. |
Approach in teaching:
Interactive Lectures, Group Discussion, Classroom Assignment Problem Solving Sessions
Learning activities for the students:
Assignments Seminar Presentation Subject based Activities |
Classroom Quiz Assignments Class Test Individual Presentation
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- Fitting and plotting of modified exponential curve,
- Fitting and plotting of Gompertz curve
- Fitting and plotting of logistic curve.
- Fitting of trend by Moving Average Method
- Fitting of trend by least square method.
- Ratio-to-Trend method,
- Ratio-to-Moving Average method
- Link Relative method.
- Calculation of variance of random component by variate difference method .
- Forecasting by exponential smoothing.
Note: Practical exercises will be conducted on the computer by using MS-Excel.
