Current instructor
Original student reviews · all captured dates
Bloss acts nice in person by telling jokes and giving out prizes during lecture, but the actual material is taught at an incredibly monotonous pace and doesn't explain concepts thoroughly. HW is long, tedious and doesn't help at all w/ overall understanding of material. Final was extremely difficult (52% median) and curve wasn't much help at all.Rate My Professors ↗
I thought he was a pretty chill guy, and the lectures were fine- he was just kind of held back by the early time slot. It's hard to pay attention already if you don't care about stats, so trying to do this tired is a bit challenging. His study guides are helpful. Don't be intimidated by the coding part, it's just basics (I've never coded before).Rate My Professors ↗
Maybe I just hate math, but I despised this class. Lectures were tedious and boring, you had to learn how to use R outside of class to use on the homework and then you don't get to use it on the exams, the homework is long and the exams are hard.Rate My Professors ↗
I wish I could give a lower rating, lectures all of class with slides. Does not engage the students AT ALL, nor does he try to connect with them. Very strict and lacks understanding for students.Rate My Professors ↗
Dr. Bloss was very approachable and kind, past exams were available and much more helpful than practice problems.Rate My Professors ↗
His rating shocks me. I assume these people hate stats and never talked to him, because despite an 8am power 2x a week, I found myself enjoying Dr. Bloss' class and coming nearly all the time (I even surprised myself with that). He obviously cares deeply about his students, and while he can be a bit eccentric, I personally grew to enjoy him.Rate My Professors ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
Introduction to mathematical statistics covering probability, distributions, the central limit theorem, and estimation.
Offering recorded · Fall 2026
Recent recorded grades — Spring 2025: 3.24 GPA, 51.8% A/AB (n=139 letter grades); Fall 2025: 3.15 GPA, 40.0% A/AB (n=130 letter grades); Spring 2026: 2.80 GPA, 34.9% A/AB (n=129 letter grades). Includes jointly taught sections.
historical GPA · grades
Spring 2022–Spring 2026STAT 371 introduces applied statistical practice for the life sciences using R, covering EDA, inference, ANOVA, and regression.
Offering recorded · Fall 2026
Recent recorded grades — Fall 2024: 2.83 GPA, 35.3% A/AB (n=343 letter grades); Fall 2025: 3.16 GPA, 48.9% A/AB (n=190 letter grades). Includes jointly taught sections.
historical GPA · grades
Spring 2022–Spring 2026Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
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