Fall 2026

Data Analysis in Communications Research

LSC 660 teaches statistical methods like chi-square, ANOVA, and regression for communication research.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

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Recent recorded grades — Fall 2015: 3.86 GPA, 85.7% A/AB (n=7 letter grades); Spring 2019: 3.41 GPA, 72.7% A/AB (n=11 letter grades); Fall 2022: 4.00 GPA, 100.0% A/AB (n=15 letter grades).

Grade history

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average GPA
letter grades
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Prerequisites

Course map

LSC 250 and senior standing or graduate/professional standing

    • LSC 250
    • senior standing or graduate/professional standing
    take one
LSC 660

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Any of
    • LSC 250
    • senior standing or graduate/professional standing

Professors

Fall 2026

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Calendar & sections

Fall 2026

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Student experience

the class

Recent recorded grades — Fall 2015: 3.86 GPA, 85.7% A/AB (n=7 letter grades); Spring 2019: 3.41 GPA, 72.7% A/AB (n=11 letter grades); Fall 2022: 4.00 GPA, 100.0% A/AB (n=15 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Chi-square tests
  • Analysis of variance (ANOVA)
  • Correlation and regression analysis
  • Nonparametric tests

Skills

  • Statistical analysis including chi-square, ANOVA, correlation, regression, and nonparametric tests.

Grades

Latest available · Fall 2022— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

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AB
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BC
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D
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Grades over time

Through Fall 2022

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Sources & history

UW–Madison

Catalog & offerings

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Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "50d6f16164844d8ba6d0a19ad9f529404214e3ffda37ca3ad41dad41e59711ed",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}