MAT 3672: Probablility & Math Stats II at NYC College of Technology
4 credits · Fall 2026
Probablility & Math Stats II (MAT 3672) at NYC College of Technology has 1 way to take it in Fall 2026. 1 of 1 section has an open seat right now.
The professor is: Arnavaz Taraporevala.
Compare them below, check the days and times, and add the course to your schedule.
Requirements
Prerequisites: MAT 2572, MAT 2580, MAT 2675
About this course
The study of multivariate normal distribution, the distribution of transformed vectors and order statistics. Includes generating functions, t- and F-distributions, central limit theorem, hypothesis testing, multiple regression, statistical inference for regression, diagnostic testing and design of experiments.
Professors for MAT 3672 at NYC College of Technology, Fall 2026
- Arnavaz TaraporevalaChill Rank 5 of 5: Brutal?
1 section · 1 open · ★ 2.3 (120) · difficulty 4.3/5 · 20% would take again
Ordered chillest first. A Chill Rank compares a professor with other CUNY professors on Rate My Professors difficulty, rating and would-take-again; it needs at least 3 ratings. How it works
MAT 3672 sections, times and seats
Seat status as of Oct 4, 5:41 PM ET. Seats can change between refreshes. How fresh is this?
Chill Rank compares professors using Rate My Professors reviews, from Chill to Brutal. What each rank means
Questions about MAT 3672 at NYC College of Technology
- Who teaches MAT 3672 at NYC College of Technology in Fall 2026?
- Arnavaz Taraporevala is listed for Fall 2026. Each name links to a page with their Chill Rank and Rate My Professors numbers.
- Is MAT 3672 at NYC College of Technology hard?
- It depends on the professor. Across the 1 professor with a Chill Rank, students on Rate My Professors give an average difficulty of 4.3 out of 5. The Chill Rank above compares them directly.
- What if a MAT 3672 section is full?
- Try another section, join the waitlist in CUNYfirst if there is one, or ask the department. You can also watch a full section and get an email when a seat opens; you still enroll yourself in CUNYfirst.