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STATS 20

Introduction to Statistical Programming with R

Course statistics

Predicted GPA
3.60
n = 2,644 · 15 terms · ± 0.011
A range
69%
of letter grades
Taken P/NP
2%
94% of those passed
D / F / W
1.3%
incl. withdrawals

Sections in Fall 2026

Not offered in Fall 2026.

Enrollment history

Final enrollment per term, averaged across that term's sections. Four years deep, summer excluded. Per-section live curves are on each section page.

  • 10521F
  • 13622W
  • 7422S
  • 14022F
  • 15323W
  • 12923S
  • 14923F
  • 15624W
  • 15124S
  • 14224F
  • 14225W
  • 13225S
Enrolment by term: 21F 105, 22W 136, 22S 74, 22F 140, 23W 153, 23S 129, 23F 149, 24W 156, 24S 151, 24F 142, 25W 142, 25S 132
Peak 156 Most recent 132 in 25S 12 terms on record

Grade distribution

  • A+ 176 · 6.5%
  • A 1,198 · 44.2%
  • A- 441 · 16.3%
  • B+ 338 · 12.5%
  • B 231 · 8.5%
  • B- 128 · 4.7%
  • C+ 56 · 2.1%
  • C 40 · 1.5%
  • C- 7 · 0.3%
  • D+ 3 · 0.1%
  • D 7 · 0.3%
  • F 19 · 0.7%
  • P 45 · 1.7%
  • NP 3 · 0.1%
  • I 11 · 0.4%
  • DR 6 · 0.2%

Grey bars are non-letter outcomes — P/NP, S/U, incompletes. They are excluded from the GPA entirely rather than scored, because counting a P as a 4.0 would be a fabrication.

By instructor

Instructor Predicted Raw n Terms A range
TSIANG, MICHAEL 3.70 3.70 1,449 10 77%
MAIERHOFER, THOMAS JOHANNES 3.47 3.47 821 3 57%
ZHOU, QING 3.42 3.41 300 2 54%
LEW, VIVIAN 3.81 3.84 74 1 91%

“Predicted” is shrunk toward the course average, which is itself shrunk toward the department — so an instructor with a handful of students sits near the course mean rather than topping the list.

By term