41114 Statistics for Economics

Course Description

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.

Learning Objective

  • 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)

Times Offered

  • September 2015
  • January 2016

Course Prerequisite