Seats
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Read October 16, 2026 at 4:42 PM PDT. Seat counts can change before you enroll.
MATH 170E / LOPEZ RIVERA, PABLO IGNACIO
Introduction to Probability and Statistics 1: Probability
How MATH 170E grades when LOPEZ RIVERA, PABLO IGNACIO teaches it. MATH 170E, every instructor LOPEZ RIVERA, PABLO IGNACIO, every course
Grades, this instructor
2.81adjusted historical GPA, this instructor
73 letter grades across 1 term, Fall 2025. The course pools every instructor at 3.23 over 2,432 letter grades.
- Raw average
- 2.71
- The mean of this instructor's recorded letter grades in this course.
- In the A range
- 32.9%
- A+, A and A minus out of 73 letter grades.
- D, F or W
- 11%
- D-range and F grades plus withdrawals, divided by letter grades plus withdrawals.
- Taken pass/no pass
- 0%
- No pass/no-pass outcomes are recorded.
Grade distribution
- A+1 / 1.4%
- A11 / 15.1%
- A-12 / 16.4%
- B+6 / 8.2%
- B7 / 9.6%
- B-5 / 6.8%
- C+7 / 9.6%
- C9 / 12.3%
- C-7 / 9.6%
- D+2 / 2.7%
- D2 / 2.7%
- D-1 / 1.4%
- F3 / 4.1%
Percentages are of the 73 letter grades. Grey bars are non-letter outcomes. They are excluded from GPA.
Term by term
Raw averages for the terms in this record. A missing term does not establish that this instructor did not teach it. Summer sessions are included when present.
Dashed line: course average across all instructors, 3.23.
One recorded instructorCo-taught, grades shared
Fall 20252.7173 letter grades.
Is one term a guide to the next?
Across the measured corpus, the same course and instructor's term averages were strongly correlated, including terms several years apart. That is why the adjustment does not weight recent terms more heavily. This is a dataset-wide pattern, not a promise about this instructor's next class.
Teaching it in Fall 2026
Reading these figures
Raw is the mean of the recorded letter grades. The adjusted historical GPA pulls an instructor's average toward the course's adjusted average, which itself uses a department prior. It is a comparison aid, not a calibrated prediction or a student rating. Small samples carry more uncertainty. All recorded instructor roles are included, and a section is counted only once for this instructor. Grades cannot establish workload or explain why outcomes differed.
What students say
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