41114 Statistics for Economics
course then extends inference by looking into: (i) small-sample tests for averages (t-test); (ii) hypothesis tests comparing two sample averages; and (iii) Chi-square tests. The course finally introduces the student to simple regression (fitting a line to a scatter plot) and multiple regression (the generalization of the regression technique to more than one explanatory variable). Students learn how to use a statistical calculator and statistical software to do their own quantitative research. Emphasis on applying methods and interpreting results throughout.
- Identify and gather economic data
- Do basic data manipulation and hypothesis testing
- State statistical estimation of economic relationships
- Apply correlation and regression analyses models to data
- Understand non-parametric methods, elementary sampling theory and design of experiments
- Discuss in an introductory manner central limit theory and the law of large numbers
- Solve problems that could lead you to using some standard statistical software.
Books for this Course
- statistical methods for business and economics By Gert Nieuwenhuis (2010)
- Statistics for Business & Economics by David R. Anderson and Dennis J. Sweeney (2013)
- September 2015
- January 2016