Stanford Root

Schedule

Stanford Root

Schedule

ECON 102A

Introduction to Statistical Methods (Postcalculus) for Social Scientists

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

Probabilistic modeling and statistical techniques relevant for economics. Concepts include: probability trees, conditional probability, random variables, discrete and continuous distributions, correlation, central limit theorems, point estimation, hypothesis testing and confidence intervals for both one and two populations. Enrollment instructions for Fall 2026: Please enroll in the lecture (section ECON 01) as well as an open discussion section that best fits your schedule. Discussion sections have limited capacity. Students may continue to make changes to their section enrollment, as capacity allows, until 5:00pm on October 9th.

Syllabus for selected term:
View Autumn 2026 Syllabus

Sections

2 Terms
Lecture 1Open
ID: 6763
0 / 135 enrolled
DAYS:Monday, Wednesday
TIME:1:30 PM – 3:20 PM
LOCATION:200-002
INSTRUCTOR:
McKeon, Scott
5units
Discussion 1Open
ID: 7560
0 / 20 enrolled
DAYS:Thursday
TIME:5:30 PM – 6:20 PM
LOCATION:300-303
5units
Discussion 2Open
ID: 7023
0 / 20 enrolled
DAYS:Thursday
TIME:6:30 PM – 7:20 PM
LOCATION:ANKO 106
5units
Discussion 3Open
ID: 7024
0 / 20 enrolled
DAYS:Thursday
TIME:6:30 PM – 7:20 PM
LOCATION:300-303
5units
Discussion 4Open
ID: 7025
0 / 20 enrolled
DAYS:Thursday
TIME:7:30 PM – 8:20 PM
LOCATION:160-127
5units
Discussion 5Open
ID: 7026
0 / 20 enrolled
DAYS:Friday
TIME:10:30 AM – 11:20 AM
LOCATION:STLC 119
5units
Discussion 6Open
ID: 7027
0 / 20 enrolled
DAYS:Friday
TIME:11:30 AM – 12:20 PM
LOCATION:60-108
5units
Discussion 7Open
ID: 7105
0 / 20 enrolled
DAYS:Friday
TIME:1:30 PM – 2:20 PM
LOCATION:160-315
5units
Discussion 8Open
ID: 7106
0 / 20 enrolled
DAYS:Friday
TIME:12:30 PM – 1:20 PM
LOCATION:McCullough 126
5units

ECON 102A: Introduction to Statistical Methods (Postcalculus) for Social Scientists

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

Probabilistic modeling and statistical techniques relevant for economics. Concepts include: probability trees, conditional probability, random variables, discrete and continuous distributions, correlation, central limit theorems, point estimation, hypothesis testing and confidence intervals for both one and two populations. Enrollment instructions for Fall 2026: Please enroll in the lecture (section 01) as well as an open discussion section that best fits your schedule. Discussion sections have limited capacity. Students may continue to make changes to their section enrollment, as capacity allows, until 5:00pm on October 9th.

Offered in Autumn 2026, Winter 2027 at Stanford University.

Autumn 2026 sections

  • Lecture — Monday Wednesday 1:30 PM – 3:20 PM — 200-002 — McKeon, Scott (Undergrad)
  • Discussion — Thursday 5:30 PM – 6:20 PM — 300-303 (Undergrad)
  • Discussion — Friday 12:30 PM – 1:20 PM — McCullough 126 (Undergrad)
  • Discussion — Friday 11:30 AM – 12:20 PM — 60-108 (Undergrad)
  • Discussion — Thursday 7:30 PM – 8:20 PM — 160-127 (Undergrad)
  • Discussion — Friday 10:30 AM – 11:20 AM — STLC 119 (Undergrad)
  • Discussion — Thursday 6:30 PM – 7:20 PM — ANKO 106 (Undergrad)
  • Discussion — Thursday 6:30 PM – 7:20 PM — 300-303 (Undergrad)
  • Discussion — Friday 1:30 PM – 2:20 PM — 160-315 (Undergrad)

Winter 2027 sections

  • Discussion — Friday 11:30 AM – 12:20 PM (Undergrad)
  • Discussion — Friday 1:30 PM – 2:20 PM (Undergrad)
  • Discussion — Thursday 6:30 PM – 7:20 PM (Undergrad)
  • Discussion — Thursday 7:30 PM – 8:20 PM (Undergrad)
  • Discussion — Friday 12:30 PM – 1:20 PM (Undergrad)
  • Discussion — Thursday 5:30 PM – 6:20 PM (Undergrad)
  • Discussion — Thursday 6:30 PM – 7:20 PM (Undergrad)
  • Discussion — Friday 12:30 PM – 1:20 PM (Undergrad)
  • Lecture — Monday Wednesday 1:30 PM – 3:20 PM — McKeon, Scott (Undergrad)

More ECON courses

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  • ECON 50Q: Economic Analysis I (Quantitative)
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  • ECON 52: Economic Analysis III
  • ECON 101: Economic Policy Seminar
  • ECON 102B: Applied Econometrics
  • ECON 102C: Advanced Topics in Econometrics
  • ECON 104: The Economics of Innovation and Organ Donation in Latin America
  • ECON 105: Economic Forecasting
  • ECON 106: World Food Economy (EARTHSYS 106, EARTHSYS 206, ECON 206, ESS 106, ESS 206, GEP 106, GEP 206)
  • ECON 107: Machine Learning in Economics

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