APPLIED STATISTICS Practical PaperAPP

SEMESTER-IV

PAPER V: APPLIED STATISTICS

Practical Paper –V

Note: Minimum of 10 practicals should be done

Time Series:

1. Measurement of trend by method of moving averages(odd and even period)
2. Measurement of trend by method of Least squares(linear and parabola)
3. Determination of seasonal indices by method simple averages
4. Determination of seasonal indices by method of Ratio to moving averages
5. Determination of seasonal indices by method of Ratio to trend
6. Determination of seasonal indices by method of Link relatives

Index Numbers:

7. Computation of simple index
8. Computation of all weighted index
9. Computation of reversal

Vital Statistics:

10. Computation of various Mortality rates
11. Computation of   various   Fertility   rates   Computation  of   various Reproduction rates.
12. Real data implementation of various demographic concepts as outlined above through practical
13. Construction of Life Tables

Note: Training shall be on establishing formulae in Excel cells and deriving the results. The excel output shall be exported to MS Word for writing inferences.

Course Learning Outcomes

After completion of this course, the students will know about

• time series data, its applications to various fields and components of time series,
• fitting and plotting of various growth curves such as modified exponential, Gompertz and logistic curve,
• fitting of trend by Moving Average method,
• measurement of Seasonal Indices by Ratio-to-Trend , Ratio-to-Moving Average and Link Relative methods,
• Applications to real data by means of laboratory
• Interpret and use a range of index numbers commonly used in the business sector
• Perform calculations involving simple and weighted index numbers
• Understand the basic structure of the consumer price index and perform calculations involving its use
• Various data collection methods enabling to have a better insight in policy making, planning and systematic implementation,
• Construction and implementation of life tables,
• Population growth curves, population estimates and projections,
• Real data implementation of various demographic concepts as outlined above through practical