MAT 327: Statistical Inference at Lehman College
4 credits · Fall 2026
Statistical Inference (MAT 327) at Lehman College has 1 way to take it in Fall 2026. 1 of 1 section has an open seat right now.
The professor is: Megan Owen.
Compare them below, check the days and times, and add the course to your schedule.
Requirements
Prereq MAT 176
About this course
Introduction to the ideas and methods of probability and statistical inference for students in mathematics and the sciences. Topics include confidence intervals, tests of significance, chi-square tests of goodness-of-fit and independence, regression analysis, and analysis of variance. Students will be introduced to a standard computer statistical package. PREREQ: MAT 176.
Professors for MAT 327 at Lehman, Fall 2026
- Megan OwenChill Rank 3 of 5: Fair?
1 section · 1 open · ★ 4.3 (15) · difficulty 3.1/5 · 91% 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 327 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 327 at Lehman
- Who teaches MAT 327 at Lehman in Fall 2026?
- Megan Owen is listed for Fall 2026. Each name links to a page with their Chill Rank and Rate My Professors numbers.
- Is MAT 327 at Lehman hard?
- It depends on the professor. Across the 1 professor with a Chill Rank, students on Rate My Professors give an average difficulty of 3.1 out of 5. The Chill Rank above compares them directly.
- What if a MAT 327 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.