| NOTE: This report provides several indicators to assist in actively evaluating enrollments and class offerings throughout the registration cycle. Cross-listed classes appear with values for total capacity and enrollment in the X-list column. Online or Hybrid classes are denoted by -ONL or -HYB added to the class title. Class enrollment numbers preceeded by S* indicate that Stop Enrollment is set for the section. This report includes classes which do not display for students but have enrollment. Click here for a detailed list of metrics and definitions. Data last refreshed at: 23-MAR-26/00:35 |
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| Spring 2026 Class Enrollment Monitoring for Natural Resources & Sci - Statistics
classenroll_CNRS_STAT_Spring report generated: 23-MAR-26 | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Course | Class Title | Units | Degree Planner totals | Course Proj Demand | Spring 25 Course Enrl | Spring 25 Course # Sects | Sect | CN | Cap | Enr | Rsrvd | Avail | Wait list total | X-list Cap/Enr | Est WTU | Instructors | Days | Time | Dates | Room | Room Cap |
| STAT 108 | Elementary Statistics | 3 | 51 | 89 | 86 | 2 | 1 | 22261 | 48 | 46 | 2 | 3.00 | Kim,YG | MWF | 12:00-12:50 | BSS_166 | 80 | ||||
| Elementary Statistics | 3 | 51 | 2 | 22262 | 48 | 41 | 7 | 3.00 | Rizzardi,MA | MWF | 14:00-14:50 | FH_163 | 50 | ||||||||
| STAT 108I | Elementary Statistics IS | 3 | 16 | 22 | 30 | 2 | 1 | 22264 | 30 | 13 | 17 | 3.00 | Manor,S | MWF | 11:00-11:50 | BSS_302 | 32 | ||||
| STAT 109 | Introductory Biostatistics | 4 | 103 | 140 | 139 | 2 | 10 | 22254 | 72 | 65 | 7 | 3.00 | Overholser,RH | MWF | 11:00-11:50 | BSS_166 | 80 | ||||
| Activity | 103 | 11 | 22255 | 24 | 24 | 0 | 1.30 | Overholser,RH | R | 09:00-10:50 | FH_202 | 24 | |||||||||
| Activity | 103 | 12 | 22256 | 24 | 24 | 0 | 1.30 | Overholser,RH | R | 11:00-12:50 | FH_202 | 24 | |||||||||
| Activity | 103 | 13 | 22635 | 24 | 17 | 7 | 1.30 | Overholser,RH | R | 13:00-14:50 | FH_202 | 24 | |||||||||
| Introductory Biostatistics | 4 | 103 | 20 | 22257 | 72 | 66 | 6 | 1 | 3.00 | Gledhill,M | MWF | 15:00-15:50 | BSS_166 | 80 | |||||||
| Activity | 103 | 21 | 22258 | 24 | 19 | 5 | 1.30 | Gledhill,M | T | 09:00-10:50 | SH_118 | 24 | |||||||||
| Activity | 103 | 22 | 22517 | 24 | 24 | 0 | 1 | 1.30 | Gledhill,M | T | 11:00-12:50 | SH_118 | 24 | ||||||||
| Activity | 103 | 23 | 22575 | 24 | 23 | 1 | 1.30 | Gledhill,M | T | 13:00-14:50 | SH_118 | 24 | |||||||||
| STAT 198 | STAT 108 Supplemental Instruct | 1 | 9 | 22 | 22 | 3 | 11 | 22833 | 20 | 4 | 16 | Thobaben,AM | MW | 17:00-17:50 | SH_115 | 35 | |||||
| STAT 109 Supplemental Instruct | 1 | 9 | 31 | 22835 | 20 | 2 | 18 | Thobaben,AM | TR | 16:00-16:50 | FH_179 | 36 | |||||||||
| STAT 109 Supplemental Instruct | 1 | 9 | 41 | 24081 | 20 | 8 | 12 | Thobaben,AM | MW | 18:00-18:50 | FH_177 | 35 | |||||||||
| STAT 333 | Linear Regression Models/ANOVA | 4 | 5 | 25 | 30 | 1 | 10 | 22259 | 27 | 23 | 4 | 3.00 | Kim,YG | MWF | 10:00-10:50 | BSS_302 | 32 | ||||
| Activity | 5 | 11 | 22260 | 27 | 23 | 4 | 1.30 | Kim,YG | T | 09:00-10:50 | BSS_313 | 27 | |||||||||
| STAT 404 | Multivariate Statistics | 4 | 5 | 6 | 5 | 1 | 10 | 22634 | 12 | 6 | 6 | 24 / 12 | 1.50 | Kim,YG | MWF | 11:00-11:50 | BSS_313 | 27 | |||
| Activity | 5 | 11 | 22636 | 12 | 6 | 6 | 24 / 12 | .65 | Kim,YG | R | 11:00-12:50 | BSS_313 | 27 | ||||||||
| STAT 504 | Multivariate Statistics | 4 | 9 | 11 | 1 | 10 | 21987 | 12 | 6 | 6 | 24 / 12 | 1.50 | Kim,YG | MWF | 11:00-11:50 | BSS_313 | 27 | ||||
| Activity | 11 | 21988 | 12 | 6 | 6 | 24 / 12 | .65 | Kim,YG | R | 11:00-12:50 | BSS_313 | 27 | |||||||||
| STAT 8 | Support for STAT 108I | 1 | 12 | 22 | 29 | 2 | 10 | 22263 | 30 | 13 | 17 | 1.30 | Manor,S | TR | 11:00-11:50 | BSS_302 | 32 | ||||
| Tutorial | 12 | 11 | 22652 | 30 | 13 | 17 | Manor,S | - | |||||||||||||