STAT 200
Spring 2009 All Classes
All Classes
Credit: 3 hours.
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.
This course satisfies the General Education Criteria in
Fall 2022 for:
Quantitative Reasoning I
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
39280
|
Lecture-Discussion
|
B1
|
2:00PM
-3:20PM
|
TR
|
1 Illini Hall
|
He, X
|
|
|
|
43774
|
Lecture-Discussion
|
N1
|
9:00AM
-9:50AM
|
MWF
|
2 Illini Hall
|
Condon, E
|
|
|
|
48326
|
Lecture
|
R1
|
10:00AM
-10:50AM
|
MWF
|
2 Illini Hall
|
Agniel, D
|
|