Fall 2026

Applications in Anova and Mixed Models

Covers development and application of ANOVA and mixed models for biological research analysis.

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Recorded instructors · Fall 2026 No instructors listed

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Prerequisites

Course map

(F&W ECOL/STAT 572 or concurrent enrollment,AN SCI 865 or concurrent enrollment, or HORT 572 prior to Spring 2025) and (PLANTSCI 771 or concurrent enrollment, or AGRONOMY 771 prior to Fall 2025)

- - F&WECOL/STAT 572 · prior_or_concurrent
  - ANSCI 865 · prior_or_concurrent
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- PLANTSCI 771 · prior_or_concurrent
take all

PLANTSCI 772

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  - F&WECOL/STAT 572 · prior_or_concurrent
  - ANSCI 865 · prior_or_concurrent
- PLANTSCI 771 · prior_or_concurrent

Professors

Fall 2026

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Calendar & sections

Fall 2026

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Section	Mode	Enrolled / capacity	Waitlist

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Student experience

the class

Development of models, programs, inferences, and interpretations of analysis of variance in biological research; mixed models and their development; choosing the correct inference range; variance and covariance analyses; repeated measures; dealing with missing data.

difficulty & workload

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Topics

Analysis of variance (ANOVA) in biological contexts.
Mixed models.
Variance and covariance analyses.
Repeated measures designs.
Missing data handling.

Skills

Developing statistical models and programs for ANOVA.
Developing and applying mixed models.
Determining appropriate statistical inference ranges.
Handling missing data in biological research.

Grades

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Sources & history

UW–Madison

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Model outputs & technical records

nvidia/Qwen3.6-35B-A3B-NVFP4

LLM outputs across runs

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Full model traces

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Model & dataset provenance

{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "890866a473da55701715975e94d676fc18afa527befc30f6056a2c606391b762",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}