Fall 2026

Basic Statistics for Psychology

Basic statistics for psychology covering central tendency, variability, probability, hypothesis testing, t-tests, Chi-square, regression, correlation, and ANOVA.

offering recorded3 credits

Summary

1 / 6

The course demands heavy self-directed learning due to the flipped format, where lectures are minimal. Exams are long and constitute the majority of the grade, though extra credit opportunities can help mitigate the difficulty.

Grade history

average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Satisfied Quantitative Reasoning (QR) A and (PSYCH 202 or concurrent enrollment)

“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

Fall 2026
/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 3.44/5 from 39 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.

Recent recorded grades — Fall 2025: 3.25 GPA, 60.3% A/AB (n=63 letter grades); Spring 2026: 2.98 GPA, 50.8% A/AB (n=65 letter grades). Includes jointly taught sections.

/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 3.19/5 from 200 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: 3.1/5 raw quality · 3.2/5 difficulty · 38 reviews

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

Jonathan Gallimore employs a flipped classroom model requiring significant self-study, with exams carrying heavy weight. Reviews are polarized; some praise his passion and extra credit opportunities, while others report passive-aggressive behavior, condescension, and stressful exam scheduling.

Recent recorded grades — Spring 2025: 3.24 GPA, 64.1% A/AB (n=92 letter grades); Fall 2025: 3.25 GPA, 59.4% A/AB (n=64 letter grades); Spring 2026: 3.03 GPA, 52.7% A/AB (n=131 letter grades). Includes jointly taught sections.

Recent recorded grades — Fall 2025: 2.95 GPA, 40.6% A/AB (n=64 letter grades); Spring 2026: 3.74 GPA, 81.2% A/AB (n=69 letter grades). Includes jointly taught sections.

No course-specific feedback yet.

No course-specific feedback yet.

Recent recorded grades — Fall 2025: 3.25 GPA, 59.4% A/AB (n=64 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

Historical reviews of Jacqueline Fulvio, Rebecca Addington: Rebecca Addington's lectures are described as unhelpful with confusing tangents, requiring students to rely on TAs for understanding. In contrast, Jacqueline Fulvio explains statistical processes well and is supportive, though reviewers suggest reading the textbook for deeper conceptual clarity.

AJA ALTENHOF is recorded teaching in Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

CLINT JENSEN is recorded teaching in Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

EMILY WARD is recorded teaching in Spring 2018, Fall 2018, Fall 2019, Fall 2021. Recorded history may be incomplete and does not establish a future schedule.

JACQUELINE FULVIO is recorded teaching in Spring 2013, Fall 2013, Spring 2014, Fall 2014, Spring 2015, Spring 2023. Recorded history may be incomplete and does not establish a future schedule.

JEFFREY HENRIQUES is recorded teaching in Fall 2012, Spring 2013, Fall 2013, Spring 2014, Fall 2014, Spring 2015, Fall 2015, Spring 2016, Fall 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025. Recorded history may be incomplete and does not establish a future schedule.

JONATHAN GALLIMORE is recorded teaching in Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

MATTHEW ANDRZEJEWSKI is recorded teaching in Fall 2011, Spring 2012. Recorded history may be incomplete and does not establish a future schedule.

MING JIUN TSAI is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

REBECCA ADDINGTON is recorded teaching in Spring 2007, Fall 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2014, Fall 2014, Spring 2015, Fall 2015, Spring 2016, Fall 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025. Recorded history may be incomplete and does not establish a future schedule.

RICK JENISON is recorded teaching in Fall 2006, Spring 2007, Fall 2008, Fall 2009, Fall 2010, Spring 2014, Spring 2017. Recorded history may be incomplete and does not establish a future schedule.

STEPHANIE SCHELL is recorded teaching in Fall 2011, Spring 2012, Spring 2013, Fall 2013, Fall 2014, Fall 2015. 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

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 007Classroom Instruction81 / 822
LEC 008Classroom Instruction79 / 820
LEC 009Classroom Instruction98 / 01
LEC 010Classroom Instruction103 / 00

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

Jonathan Gallimore’s PSYCH 210 course is polarizing, with students describing him as either passionate and helpful or passive-aggressive and condescending. The flipped classroom model requires significant self-study, and exam timing is a frequent source of stress.

Recent recorded grades — Spring 2025: 3.08 GPA, 50.6% A/AB (n=330 letter grades); Fall 2025: 3.11 GPA, 50.5% A/AB (n=325 letter grades); Spring 2026: 3.43 GPA, 68.0% A/AB (n=341 letter grades).

difficulty & workload

The course demands heavy self-directed learning due to the flipped format, where lectures are minimal. Exams are long and constitute the majority of the grade, though extra credit opportunities can help mitigate the difficulty.

Students report mixed experiences with Gallimore’s demeanor, ranging from caring to rude or condescending. Frustrations include passive-aggressive emails, public call-outs, and stressful exam scheduling, while positives include clear resource provision and extra credit.

Topics

  • Central tendency and variability
  • Probability and sampling distributions
  • Hypothesis testing and confidence intervals
  • t-tests and Chi-square tests
  • Linear regression and correlation
  • Analysis of variance (1-way)

Skills

  • Statistical analysis and hypothesis testing
  • Linear regression and correlation
  • Analysis of variance (ANOVA)

Grades

Historical instructor

Fall 2026 · Projected

Before grades are released

average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 5 same-season terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

8 earlier forecasts · 0.17 GPA average error.

Grades over time

Through Fall 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1283 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

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
PSYCH 210 · Fall 2026

Basic Statistics for Psychology

Recorded 2026-09-07
Raw records
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    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
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    "offering_id": "1272:820:016367",
    "course_id": "PSYCH 210",
    "course_uid": "course_2b59ae9c5e9641dfdbd15861",
    "term_id": "1272",
    "source_course_id": "016367",
    "source_subject_id": "820",
    "title": "Basic Statistics for Psychology",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall, Spring, Summer"
  }
]
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.

Explore recorded grades
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
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  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "12500febb66bc3d068e19e20298c4d4bfc3dad721759054c39eac5e8aa504e95",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}