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STATS 101A

Introduction to Data Analysis and Regression

Course statistics

Predicted GPA
3.66
n = 1,530 · 11 terms · ± 0.014
A range
75%
of letter grades
Taken P/NP
0%
80% of those passed
D / F / W
1.2%
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.

  • 6122W
  • 8622S
  • 8123W
  • 8323S
  • 7724W
  • 8324S
  • 7925W
  • 8325S
Enrolment by term: 22W 61, 22S 86, 23W 81, 23S 83, 24W 77, 24S 83, 25W 79, 25S 83
Peak 86 Most recent 83 in 25S 8 terms on record

Grade distribution

  • A+ 303 · 19.7%
  • A 612 · 39.8%
  • A- 232 · 15.1%
  • B+ 127 · 8.3%
  • B 124 · 8.1%
  • B- 59 · 3.8%
  • C+ 27 · 1.8%
  • C 27 · 1.8%
  • C- 1 · 0.1%
  • D+ 5 · 0.3%
  • D 4 · 0.3%
  • D- 2 · 0.1%
  • F 7 · 0.5%
  • P 4 · 0.3%
  • NP 1 · 0.1%
  • I 3 · 0.2%
  • DR 1 · 0.1%

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
CHA, MARIA 3.67 3.67 624 5 77%
GOULD, ROBERT L 3.66 3.66 325 4 72%
ALMOHALWAS, AKRAM M 3.42 3.41 184 2 61%
ZANONTIAN, LINDA ANIA 3.69 3.70 161 1 78%
XU, SHIRONG 3.71 3.72 153 1 75%
LEW, VIVIAN 3.91 3.95 83 1 98%

“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