University of Toronto Scarborough
STAB52H3
An Introduction to Probability
What was the average?
Not reported
No student has contributed a result for this offering yet.
How is it graded?
Not yet verified
No syllabus we can lawfully use has been verified for this course.
How confident is this?
Unknown
A small number of terms, so read it as a range.
From the calendar
Official source · University of Toronto ScarboroughA mathematical treatment of probability. The topics covered include: the probability model, density and distribution functions, computer generation of random variables, conditional probability, expectation, sampling distributions, weak law of large numbers, central limit theorem, Monte Carlo methods, Markov chains, Poisson processes, simulation, applications. A computer package will be used.
- Exclusions
- PSYB07H3STA237H1STA246H5STA247H1STA256H5STAB53H3
How well we know this course
2016–2016Pyko’s archive holds 2 documents for STAB52H3, across 1 year between 2016 and 2016.
- 1
- Final exams
- 1
- Solution sets
Counts, not a library. Pyko does not host or distribute course files, and this page is not an offer to supply one — the archive is what lets these pages describe how a course is assessed, which matters most where no syllabus has been verified.
What we don’t have yet
Source ledger
Report an error →| Claim | Source | Captured | Status |
|---|---|---|---|
| Course description, prerequisites, exclusions, contact hours | University of Toronto Scarborough | 2026-07-25 | public fact |
| 2 archived documents, 2016-2016 | Pyko archive | 2026-07-25 | index only |
Page last verified 2026-07-25. A claim whose source moves is withdrawn before it goes stale.
What this opens up
17 courses list STAB52H3 as a prerequisiteThe other 7 have no page yet. Listing a course here means it names STAB52H3 among its prerequisites — often as one of several ways to satisfy the same requirement, so this is what STAB52H3 makes available, not what it alone guarantees.
Around this course
Everything above is history. Yours isn’t written yet.
Add STAB52H3 and Pyko tracks what you've earned against your own grading scheme.
Pyko is an independent student platform. It is not affiliated with, endorsed by, or operated by the University of Toronto. Course names and codes are used descriptively to identify courses.