University of Toronto Mississauga

BIO361H5

Biometrics II

Credit0.50

PrerequisiteBIO360H5

Total contact hours24 lecture · 24 tutorial

Evidence2 terms

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What was the average?

B+

3.3 GPA across 2 observed terms. Most recent: Winter 2023.

How is it graded?

Not yet verified

No syllabus we can lawfully use has been verified for this course.

How confident is this?

Med

A small number of terms, so read it as a range. The most recent observation is several years old.

From the calendar

Official source · University of Toronto Mississauga

This course is a sequel to BIO360H5 in which topics in biological statistics are explored at an advanced level. Multiple regression, concepts of power, multi-factor analysis of variance, advanced experimental designs, logistic regression, Monte Carlo techniques, generalized linear models and principal component analyses are explored using R software.

Prerequisite: BIO360H5
Exclusions: ECO220Y5
Contact hours: 24 lecture · 24 tutorial; Total scheduled hours for the course, not per week.

What people actually got

Last observed Winter 2023

B+

3.3 GPA

2 terms observed

n = 2student contributedMississauga offerings only

This is a student-contributed aggregate, not an official University of Toronto record. It is also not a measure of how hard the course is — a course average moves with who enrols in it, not only with the material.

The newest observation is from Winter 2023. Instructors, weighting and exam format may all have changed since — treat this as history, not a forecast.

This rests on 2 reported terms. It is shown because hiding it would not make it less true, but one or two results are a datapoint, not a distribution — a single unusual cohort moves this number a long way.

What we don’t have yet

Assessment weightingNo syllabus we can lawfully use has been verified for this offering. Contribute yours and the breakdown appears here.

A current averageThe newest verified observation is from Winter 2023. Later terms have no confirmed result yet.

Per-term breakdownHeld back deliberately. Splitting 2 observations across terms would be false precision.

Instructor-level detailAverages are not split by instructor. At these sample sizes the difference between sections is noise, not signal.

Archive coveragePyko holds no past paper for this course. We do not host or distribute course files in any case; the archive is what lets these pages describe how a course is assessed.

Source ledger

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Sources behind every claim on this page
Claim	Source	Captured	Status
Course description, prerequisites, exclusions, contact hours	University of Toronto Mississauga	2026-07-25	public fact
Historical average across 2 terms	Student contributions, consented	2026-07-25	user contributed aggregate

Page last verified 2026-07-25. A claim whose source moves is withdrawn before it goes stale.

Around this course

BIO360H5Required before this course

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