STAT 201 Statistics I
This course covers the basic principles and methods of statistics. It emphasizes techniques and applications in real-world problem solving and decision making. Topics include frequency distributions, measures of location and variation, probability, sampling, design of experiments, sampling distributions, interval estimation, hypothesis testing, correlation and regression.
Prerequisites: A grade of C- or higher in MATH 98 or MATH 102, or placement at MATH 115 College Algebra on the mathematics assessment test offered by Placement Assessment Office. For information on math placement and assessment visit, www.metrostate.edu/placement-assessment. Students whose prerequisites are not identified by the system should contact the Math and Statistics Department for an override at MATH@metrostate.edu.
Prerequisites
Special information
4 Undergraduate credits
Effective August 1, 1998 to present
Meets graduation requirements for
Learning outcomes
General
- Demonstrate comprehension and ability to apply inferential statistics, including construction of confidence intervals for point estimates and simple hypothesis tests.
- Recognize appropriate use of different statistical models to represent and answer questions about representative real-world problems involving categorical and quantitative data.
- Understand and apply statistical concepts including probability, regression and correlation, experimental design, descriptive statistics and inferential statistics.
- Understand statistical principles and methods for data collection and analysis.
Spring 2025
| Section | Title | Instructor | books | eservices |
|---|---|---|---|---|
| 01 | Statistics I | Fox, Terrance L | ||
| 02 | Statistics I | Ghebresilassie, Daniel Tewolde | ||
| 03 | Statistics I | Canavan, Amy | ||
| 50 | Statistics I | Jacobson, David Willia | ||
| 51 | Statistics I | Zhang, Yue | ||
| 52 | Statistics I | Canavan, Amy | ||
| 53 | Statistics I | Ghebresilassie, Daniel Tewolde | ||
| 54 | Statistics I | Sharma, Mayura A | ||
| 55 | Statistics I | Phan, Christopher Lee |
Summer 2025
| Section | Title | Instructor | books | eservices |
|---|---|---|---|---|
| 02 | Statistics I | Lenertz, Sara Horne | ||
| 50 | Statistics I | Sharma, Mayura A | ||
| 51 | Statistics I | Canavan, Amy | ||
| 52 | Statistics I | Premarathna, Iresha |
Fall 2025
| Section | Title | Instructor | books | eservices |
|---|---|---|---|---|
| 01 | Statistics I | Fox, Terrance L | ||
| 02 | Statistics I | Staff, Staff | ||
| 03 | Statistics I | Staff, Staff | ||
| 04 | Statistics I | Staff, Staff | ||
| 05 | Statistics I | Staff, Staff | ||
| 50 | Statistics I | Staff, Staff | ||
| 51 | Statistics I | Jacobson, David Willia | ||
| 52 | Statistics I | Premarathna, Iresha | ||
| 53 | Statistics I | Staff, Staff | ||
| 54 | Statistics I | Staff, Staff |