Spring 2027

Statistical Methods for Bioscience II

Statistical Methods for Bioscience II covers polynomial and multiple regression, two-way ANOVA, split-plot design, subsampling, ANCOVA, elementary sampling, and bioassay.

offering recorded4 credits
Recorded instructors · Spring 2027 Brian Powers3.4/5

Summary

1 / 5

Past student reviews · Brian Powers

The course received a moderate difficulty rating from the reviewer.

Grade history

↗
average GPA
letter grades
A
AB
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BC
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All recorded terms · compare terms & instructors

Prerequisites

Course map

STAT/​F&W ECOL 571(or HORT 571 prior to Spring 2025)

F&WECOL/STAT 572 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Spring 2027
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 3.17/5 from 29 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.

For this course: 1.0/5 raw quality · 3.0/5 difficulty · 1 reviews

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

Past student reviews · Brian Powers

A student reported that Brian Powers struggled to communicate material effectively, noting that lectures featured chaotic slides and tangential topics that diverged significantly from the intended course content.

Recent recorded grades — Spring 2024: 3.45 GPA, 65.1% A/AB (n=43 letter grades); Spring 2025: 3.44 GPA, 61.8% A/AB (n=34 letter grades); Spring 2026: 3.54 GPA, 69.2% A/AB (n=26 letter grades).

Historical instructors & teaching patterns

Past student reviews · Bret Larget

Dr. Larget, who taught the course in 2007, was described as distracted by errors in his notes, which interrupted the content. Additionally, he took a long time to grade tests, making it difficult for students to receive feedback on their mistakes. A former student felt he needed to change his teaching style and rated the course difficulty as high.

BRET LARGET is recorded teaching in Spring 2007, Spring 2008. Recorded history may be incomplete and does not establish a future schedule.

BRIAN POWERS is recorded teaching in Spring 2023, Spring 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 720
DIS 311Classroom Instruction0 / 240
DIS 312Classroom Instruction0 / 240
DIS 313Classroom Instruction0 / 240
LEC 001Classroom Instruction0 / 720
DIS 311Classroom Instruction0 / 240
DIS 312Classroom Instruction0 / 240
DIS 313Classroom Instruction0 / 240

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records

Student experience

the class

Past student reviews · Brian Powers

Professor Powers is a gifted statistician, but the reviewer found his lectures chaotic and often diverged significantly from the intended course material.

Recent recorded grades — Spring 2024: 3.45 GPA, 65.1% A/AB (n=43 letter grades); Spring 2025: 3.44 GPA, 61.8% A/AB (n=34 letter grades); Spring 2026: 3.54 GPA, 69.2% A/AB (n=26 letter grades).

difficulty & workload

Past student reviews · Brian Powers

The course received a moderate difficulty rating from the reviewer.

Past student reviews · Brian Powers

The reviewer noted that lectures featured chaotic slides and tangential topics, causing the actual material to diverge massively from what was intended to be covered.

Topics

  • Regression models including polynomial and multiple regression.
  • Analysis of variance (ANOVA) techniques such as two-way ANOVA and split-plot designs.
  • Sampling methods and bioassay introduction.

Skills

  • Apply polynomial and multiple regression, two-way ANOVA, split-plot designs, and analysis of covariance for bioscience data.

Grades

Latest available · Spring 2026— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Spring 2026

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

Selected offering source records
F&WECOL/STAT 572 · Spring 2027

Statistical Methods for Bioscience II

Recorded 2026-10-14
F&WECOL/STAT 572 · Spring 2027

Statistical Methods for Bioscience II

Recorded 2026-10-14
Raw records
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    "offering_id": "1274:396:018475",
    "course_id": "F&WECOL/STAT 572",
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    "term_id": "1274",
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    "source_subject_id": "396",
    "title": "Statistical Methods for Bioscience II",
    "credits_min": 4,
    "credits_max": 4,
    "typically_offered": "Spring"
  },
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    "course_id": "F&WECOL/STAT 572",
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    "term_id": "1274",
    "source_course_id": "018475",
    "source_subject_id": "932",
    "title": "Statistical Methods for Bioscience II",
    "credits_min": 4,
    "credits_max": 4,
    "typically_offered": "Spring"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
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