MGT 201: QUANTITATIVE ANALYSIS
University of California, Riverside
4 Units, Lecture, 3 hours; written work, 3 hours. Prerequisite(s): MGT 403 with a grade of S or better; or passing score on assessment test; or completing Knewton Alta prior to starting the program; or Master of Finance (MFIn); or department approval; consent of instructor; may not be taken for degree credit by students in statistics undergraduate or graduate programs; graduate standing; or consent of instructor. Addresses decision-making and solving management problems using data. Covers the foundation of probability and statistics as well as statistical inference and interpretation of statistical analysis. Topics include probability, sampling, estimation, confidence intervals, hypothesis testing, and linear regression.
Average GPA: 3.14
Grade distribution records: 1,282 students across 14 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 129 | 10.1% |
| A | 186 | 14.5% |
| A- | 167 | 13.0% |
| B+ | 220 | 17.2% |
| B | 205 | 16.0% |
| B- | 130 | 10.1% |
| C+ | 87 | 6.8% |
| C | 70 | 5.5% |
| C- | 39 | 3.0% |
| D+ | 18 | 1.4% |
| D | 13 | 1.0% |
| D- | 2 | 0.2% |
| F | 14 | 1.1% |
| S | 1 | 0.1% |
| W | 1 | 0.1% |
Based on 1,282 student grade records across 14 terms and 3 professors.
Instructors
- Elodie Goodman 1,026 students, Average GPA 3.02
- Kamvar Farahbod 141 students, Average GPA 3.33
- Xun Xu 115 students, Average GPA 3.91