CRIM 30000 - Statistical Techniques

An introduction to statistics. Nature of statistical data. Ordering and manipulation of data. Measures of central tendency and dispersion. Elementary probability. Concepts of statistical inference decision. Estimation and hypothesis testing. Special topics discussed may include regression and correlation, analysis of variance, nonparametric methods.

Preparation for Course
P: MA 14000, MA 15300 or MA 22900.

Cr. 3.
Notes
Credit given for only one of the following: CRIM 30000, ECON 27000, SOC 35100, POL 39500, PSY 20100, or STAT 30100.
Student Learning Outcomes
1. Describe and assess the logic of social science research in particular and of scientific research in general.
2. Comprehend the basic concepts, steps, and design involved in the systematic research process.
3. Achieve an intuitive understanding on using statistical software for data analysis.
4. Learn how to analyze data, communicate research findings, and be an intelligent consumer of research.