Course Objectives:
The objectives of this course are-
Course Outcomes (COs):
Course |
Outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Paper Code |
Paper Title |
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ECO 223(P) |
Statistical Methods for Economics through Microsoft Excel |
CO22: Analyze data in terms of diagrammatic and graphical representation. CO23: Understand the calculation and interpretation of descriptive measures and correlation and regression analysis through Excel. CO24: Acquire knowledge of time series analysis and hypothesis testing using Excel tools.
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Approach in teaching: Interactive Lectures, Discussion and Demonstration.
Learning activities for the students: Practice modules and Assignments. |
Practical File Preparation, Assignments, Semester end examinations. |
Editing and formatting data
Performing calculations (absolute and relative referencing)
Mathematical and Statistical functions
Data presentation- creating frequency distribution and charts.
Measures of central tendency, dispersion, skewness and kurtosis
Correlation analysis- Karl Pearson’s & Spearman’s rank correlation coefficient.
Regression analysis.
Time series: moving averages, trend, forecasting
Calculation of Index numbers
Probability distributions- Binomial, Poisson and Normal.
Applications of Z, t, chi-square & F (one-way & two-way ANOVA) tests.
Software to be used: MS Excel
Davis, Glyn and Pecar Branko, Business Statistics using Excel, Oxford University Press 2010.