Fall 2007
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STAT 200
Statistical Analysis

Credit:  3 hours.

This course satisfies the General Education Criteria for a
Quant Reasoning I course.

Principles in statistical design and analysis motivated by real case studies. Statistical computing is introduced and used for data analysis. Theory and techniques include survey sampling, hypothesis testing, contingency tables, Poisson models, regression analysis, and response surface analysis. The vital role of statistics in science is illustrated by case studies, and students learn principles related to study design, data collection, data presentation, and statistical computing, as well as technical writing and communication skills.


Section Information
CRNTypeSectionTimeDays Location  Instructor
43148  lecture- discussion  B1 09:00 AM - 09:50 AM MWF  room ARR
Illini Hall 
Ma, P 
Quant Reasoning I course.

49228  lecture- discussion  R1 01:00 PM - 01:50 PM MWF  room ARR
Illini Hall 
Hong, H 
Quant Reasoning I course.

46962  lecture- discussion  S1 03:00 PM - 03:50 PM MWF  room ARR
Illini Hall 
Harder, P 
Quant Reasoning I course.