Historical instructor

SEAN KENT

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 4.71/5 from 7 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

What students say

Original student reviews · all captured dates

STAT 333
Quality 5/5Difficulty 3/5
Sean is a great guy and knows stats well without overwhelming students. He is a nice guy and wants the best for his students. Very helpful in and outside class.
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STAT 333
Quality 5/5Difficulty 3/5
I had him as a TA for STAT333 with professor Kang, he was a very good TA. Class time was efficiently used and he is very good at answering questions.
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STAT 371
Quality 5/5Difficulty 3/5
This was Sean's first semester as a lecturer, and if he had not told the class, I probably would have not noticed. I had him for an 8 am class, and yet he did not put me to sleep. This was impressive considering I am not huge into statistics. He was a good lecturer, a fair grader, and he expressed his expectations clearly.
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STAT 371
Quality 3/5Difficulty 3/5
Sean was a pretty good instructor overall. It was his first semester teaching when I took class with him but he seemed to do well. Exams were kind of hard but not too bad.
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STATS371 · course not matched
Quality 5/5Difficulty 3/5
Sean is a super nice guy! His lectures follow a printed packet format with examples and all the formulas on it needed to succeed in the class. There isn't a lot of material outside of class to work on and homework is due every two weeks. Tests are fair but there isn't a lot going into creating your grade. Work hard for the tests as there are only 3
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STAT 371
Quality 5/5Difficulty 3/5
Sean is a great lecturer and wants his students to succeed. He provides all the necessary information to succeed in the class and use statistics outside of class without overwhelming students with tons of reading/notes. The homeworks are doable and useful to understand using R.
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Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.

Classes with SEAN KENT

STAT 371 introduces applied statistical practice for the life sciences using R, covering EDA, inference, ANOVA, and regression.

No offering record · Fall 2018

with this instructor · course overall, matching historical terms

historical GPA · grades

Spring 2014–Fall 2018

Recorded teaching history

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Fall 2018STAT 371Introductory Applied Statistics for the Life Sciences

Teaching history may be incomplete. Course pages contain course-specific feedback and citations.

Instructor identity & provenance
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