Stanford Root

Schedule

Stanford Root

Schedule

STATS 60

Introduction to Statistical Methods: Precalculus (PSYCH 10)

UNITS:5
GRADING:Letter or Credit/No Credit
LEVEL:Undergrad
GER:WAY-AQR, WAY-FR

Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of hypotheses, correlation, and regression.

Syllabus for selected term:
View Autumn 2026 Syllabus

Sections

3 Terms
Lecture 1Open
ID: 7113
0 / 150 enrolled
DAYS:Monday, Wednesday, Friday
TIME:1:30 PM – 2:50 PM
LOCATION:420-041
INSTRUCTOR:
Fan, Judith
5units
Discussion 1Open
ID: 7693
0 / 20 enrolled
DAYS:Monday
TIME:11:30 AM – 12:20 PM
LOCATION:STLC 118
5units
Discussion 2Open
ID: 7694
0 / 20 enrolled
DAYS:Monday
TIME:9:30 AM – 10:20 AM
LOCATION:Green Earth Sciences150
5units
Discussion 3Open
ID: 7695
0 / 20 enrolled
DAYS:Monday
TIME:10:30 AM – 11:20 AM
LOCATION:200-217
5units
Discussion 4Open
ID: 7696
0 / 20 enrolled
DAYS:Tuesday
TIME:9:30 AM – 10:20 AM
LOCATION:Encina West 202
5units
Discussion 5Open
ID: 7697
0 / 20 enrolled
DAYS:Tuesday
TIME:10:30 AM – 11:20 AM
LOCATION:50-52H
5units
Discussion 6Open
ID: 7698
0 / 20 enrolled
DAYS:Wednesday
TIME:11:30 AM – 12:20 PM
LOCATION:ANKO 106
5units
Discussion 7Open
ID: 7699
0 / 20 enrolled
DAYS:Wednesday
TIME:9:30 AM – 10:20 AM
LOCATION:Green Earth Sciences134
5units
Discussion 8Open
ID: 7700
0 / 20 enrolled
DAYS:Wednesday
TIME:10:30 AM – 11:20 AM
LOCATION:200-217
5units
Discussion 9Open
ID: 7701
0 / 20 enrolled
DAYS:Thursday
TIME:9:30 AM – 10:20 AM
LOCATION:Green Earth Sciences150
5units
Discussion 10Open
ID: 7702
0 / 20 enrolled
DAYS:Thursday
TIME:10:30 AM – 11:20 AM
LOCATION:100-101K
5units

STATS 60: Introduction to Statistical Methods: Precalculus (PSYCH 10)

5 units · Letter or Credit/No Credit · GER: WAY-AQR, WAY-FR

Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of hypotheses, correlation, and regression.

Offered in Autumn 2026, Winter 2027, Spring 2027 at Stanford University.

Autumn 2026 sections

  • Lecture — Monday Wednesday Friday 1:30 PM – 2:50 PM — 420-041 — Fan, Judith (Undergrad)
  • Discussion — Thursday 9:30 AM – 10:20 AM — Green Earth Sciences150 (Undergrad)
  • Discussion — Thursday 10:30 AM – 11:20 AM — 100-101K (Undergrad)
  • Discussion — Tuesday 10:30 AM – 11:20 AM — 50-52H (Undergrad)
  • Discussion — Wednesday 11:30 AM – 12:20 PM — ANKO 106 (Undergrad)
  • Discussion — Wednesday 9:30 AM – 10:20 AM — Green Earth Sciences134 (Undergrad)
  • Discussion — Wednesday 10:30 AM – 11:20 AM — 200-217 (Undergrad)
  • Discussion — Monday 11:30 AM – 12:20 PM — STLC 118 (Undergrad)
  • Discussion — Monday 9:30 AM – 10:20 AM — Green Earth Sciences150 (Undergrad)
  • Discussion — Monday 10:30 AM – 11:20 AM — 200-217 (Undergrad)
  • Discussion — Tuesday 9:30 AM – 10:20 AM — Encina West 202 (Undergrad)

Winter 2027 sections

  • Discussion — Friday 12:30 PM – 1:20 PM (Undergrad)
  • Discussion — Friday 10:30 AM – 11:20 AM (Undergrad)
  • Lecture — Monday Tuesday Wednesday Thursday 9:30 AM – 10:20 AM — Taylor, Jonathan (Undergrad)
  • Discussion — Friday 11:30 AM – 12:20 PM (Undergrad)
  • Discussion — Friday 9:30 AM – 10:20 AM (Undergrad)
  • Discussion — Friday 1:30 PM – 2:20 PM (Undergrad)

Spring 2027 sections

  • Lecture — Monday Wednesday Friday 1:30 PM – 2:50 PM — Schramm, Tselil (Undergrad)
  • Discussion — Thursday 10:30 AM – 11:20 AM (Undergrad)
  • Discussion — Thursday 9:30 AM – 10:20 AM (Undergrad)
  • Discussion — Thursday 2:30 PM – 3:20 PM (Undergrad)
  • Discussion — Thursday 3:30 PM – 4:20 PM (Undergrad)
  • Discussion — Thursday 4:30 PM – 5:20 PM (Undergrad)

More STATS courses

  • STATS 100: Mathematics of Sports
  • STATS 110: Introduction to Statistics for Engineering and the Sciences
  • STATS 116X: Theory of Probability (accelerated)
  • STATS 117: Introduction to Probability Theory
  • STATS 118: Probability Theory for Statistical Inference
  • STATS 141: Introduction to Statistics for Biology (BIO 141)
  • STATS 191: Introduction to Applied Statistics
  • STATS 199: Independent Study
  • STATS 200: Introduction to Theoretical Statistics
  • STATS 200Q: Philosophical Foundations of Statistics (DATASCI 200Q)
  • STATS 202: Statistical Learning and Data Science
  • STATS 203: Regression Models and Analysis of Variance

All STATS courses · All departments