Forestry
Multivariate Statistical Methods
3 credits
Multivariate analysis of variance, cluster, principal components, factor, canonical and discriminant analysis. Theory and conceptual background are presented but emphasis is on selection of appropriate analysis and interpretation of results. Examples from forestry and related fields are analysed by computer programs at UBC.
Average
87.7%
Students
80
Sections
4
Grade distribution. <50: 0, 50-54: 0, 55-59: 0, 60-63: 0, 64-67: 0, 68-71: 2, 72-75: 1, 76-79: 2, 80-84: 16, 85-89: 23, 90-100: 29.
Historical Averages
2014–2023
Lowest section avg
85.0%
Highest section avg
90.6%
Terms offered
4
Some grade ranges were withheld by UBC to protect student privacy and are not shown above.
Grade data from ubc-pair-grade-data.
| Section | Activity | Status | Time | Instructor |
|---|---|---|---|---|
| 202 | Lecture | Open | Wed 13:00-14:30, Fri 13:00-14:30 | Suborna Ahmed |
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