ECO 304N Statistics for the Social Scientist

3 Credit(s)

This course is a computer-oriented examination of advanced quantitative techniques as applied to decision making in economics, business and the social sciences. It includes data description, probability, confidence intervals, analysis of variance, chi square analysis, regression and correlation analysis, time series and index number construction. It stresses the development of statistical thinking, the assessment of credibility and value of inferences made from data, by both those who consume and those who produce the information. Statistical inference and data collection and analysis will be used to evaluate statistical studies. Case studies and exercises will draw on real business situations and recent economic events. Not open to students who have taken ECO304. Prerequisite: MAT 108.