MATH-152 Statistical Analysis of Data
An introduction to the principles and methods of applied statistics. Topics include exploratory data analysis, sampling distributions, confidence intervals, hypothesis testing, regression analysis, analysis of variance and categorical data analysis. Extensive reliance on statistical computer software and authentic data, with a focus on investigating issues of social, structural, and institutional hierarchies.
Standard Course (40)
Credits
1
Offered
Fall, Spring
Notes
May not be taken by students who have taken Math 252 or 253, or have taken or are taking Econ 166, Econ 265, Psych 201, Neuro 201 or Govt 230.