Source document. This page reproduces the syllabus this course was written to, as published — its semesters, credits and paper numbers are that document’s, not this site’s. The course itself is studied on its own, in any order.
Course Information
Title
Applied Statistics
Theory Credits
3 (3 hrs/week)
Practical Credits
1 (2 hrs/week)
Course Outcomes
Master forecasting techniques and their applications.
Interpret and use a range of index numbers commonly used in business.
Perform calculations involving simple and weighted index numbers.
Understand the basic structure of the Consumer Price Index and perform calculations involving its use.
Apply various data-collection methods for better policy insight.
Construct and implement life tables.
Use population growth curves, estimates and projections.
Implement demographic concepts on real data through practicals.
Theory — Five Units
Unit 1: Time Series
Time series and its components with illustrations; additive, multiplicative and mixed models. Trend — estimation by free-hand curve method, semi-averages, least squares (linear and parabolic), moving averages method.
Concept, construction, problems, uses and limitations of index numbers. Simple and weighted index numbers — various weighted aggregate index numbers; criteria of a good index number; Fisher's ideal index. Cost of living index and wholesale price index.
Introduction, definition and uses of vital statistics; sources of vital statistics. Measures of mortality rates — Crude Death Rate, Specific Death Rate, Standardised Death Rate with different populations and problems.
Life table — columns, construction and uses of life table; proofs of life-table functions. Measures of fertility rates — Crude Birth Rate, General Fertility Rate, Age-Specific Fertility Rate, Total Fertility Rate. Measures of population growth — Pearl's vital index, Gross Reproduction Rate, Net Reproduction Rate and related problems.