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ECON 41Probability and Statistics for Economists

Economics · 4 units · Undergraduate lower division (0-99)

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Not open to students with credit for former Statistics 11. Introduction to theory and practice of mathematical statistics with emphasis on its use in economics. Introduction of basic statistical concepts such as random variables, probability distributions, estimation, confidence intervals, and hypothesis testing.

Letter grading.

When it runs

Checking the Schedule of Classes…

Requisites

Official UCLA wording

Enforced requisites: Mathematics 31A, 31B, with grades of C or better.

BruinTree reads · Prerequisite

confidence 1.00 · from text
grade C or better in
  • all of
    • MATH 31A
    • MATH 31B

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Requires

Everything that has to come before this course, not just the courses named in the requisite above.

ECON 41

  • MATH 31ADifferential and Integral Calculus
    • MATH 1Precalculus
  • MATH 31BIntegration and Infinite Series
    • MATH 31ADifferential and Integral Calculusanother path to it

2 direct requisites. The whole upstream is here — 4 courses over 2 levels. Every course here opens its own tree.

Unlocks

What this course is a requisite for, and what those courses lead to in turn.

ECON 416 more beyond

  • ECON 103Introduction to Econometrics17 more beyond
    • ECON 103LEconometrics Laboratoryanother path to it
    • ECON 104Data Science for Economists
    • ECON 104LData Science for Economists Laboratory
    • ECON 109CAdvanced Sequence: Computational Economicsanother path to it
    • ECON 109DAdvanced Sequence: Econometric Theoryanother path to it
    • ECON 111Theories of Development3 more beyond
    • ECON 111LTheories of Development Laboratory
    • ECON 130Public Economics1 more beyond
  • ECON 103LEconometrics Laboratory
    • ECON 103Introduction to Econometricsanother path to it
    • ECON 109CAdvanced Sequence: Computational Economics
    • ECON 109DAdvanced Sequence: Econometric Theory
    • ECON 109DLAdvanced Sequence: Econometric Theory Laboratory
    • ECON 109EAdvanced Sequence: Applied Empirical Economics
    • ECON 123Forecasting of Asset Prices and Portfolio Designanother path to it
    • ECON 123LForecasting of Asset Prices and Portfolio Design Laboratoryanother path to it
    • ECON 144Economic Forecasting
  • COMM 150Methodologies in Communication Research
    • COMM 198AHonors Research in Communication Studies
      • COMM 198BHonors Research in Communication Studies1 more beyond
  • ECON 123Forecasting of Asset Prices and Portfolio Design
    • ECON 123LForecasting of Asset Prices and Portfolio Design Laboratoryanother path to it
  • ECON 123LForecasting of Asset Prices and Portfolio Design Laboratory
    • ECON 123Forecasting of Asset Prices and Portfolio Designanother path to it
  • ENVIRON 134Environmental Economics with Data Analysis
  • ECON 134Environmental Economics
  • ECON 142Economics of Networks
  • STATS 20Introduction to Statistical Programming with R4 more beyond
    • MATH 42Introduction to Data-Driven Mathematical Modeling: Life, Universe, and Everything1 more beyond
    • POL SCI M170XCausality X
    • STATS 21Python and Other Technologies for Data Science1 more beyond
    • STATS 101AIntroduction to Data Analysis and Regressionanother path to it
    • STATS 102AIntroduction to Computational Statisticsanother path to it
    • STATS 152Environmental Statistics
    • STATS C160Causal Inference for Health Dataanother path to it
    • STATS M169Causality X
  • ECON 147Computational Finance and Data Analysis for Financial Engineering
    • ECON 147LComputational Finance and Data Analysis for Financial Engineering Laboratoryanother path to it
  • ECON 147LComputational Finance and Data Analysis for Financial Engineering Laboratory
    • ECON 147Computational Finance and Data Analysis for Financial Engineeringanother path to it
  • STATS 101AIntroduction to Data Analysis and Regression4 more beyond
    • MATH M148Experience of Data Science
    • STATS 101BIntroduction to Design and Analysis of Experiment4 more beyond
    • STATS 101CIntroduction to Statistical Models and Data Mining2 more beyond
    • STATS C151Experimental Design
    • STATS 153Hierarchical Linear Modeling
    • STATS C160Causal Inference for Health Data
    • STATS 170Introduction to Time-Series Analysis
    • STATS 184Societal Impacts of Data
  • ECON 149Time-Series Econometrics
    • ECON 149LTime-Series Econometrics Laboratoryanother path to it
  • ECON 149LTime-Series Econometrics Laboratory
    • ECON 149Time-Series Econometricsanother path to it
  • STATS 102AIntroduction to Computational Statistics
    • STATS 131Python and Other Technologies for Data Analysis
    • STATS 133Introduction to Text Mining Using R
    • STATS 143Introduction to Research in Statistics
    • STATS C167Introduction to Databases
    • STATS C267Introduction to Databases

21 courses list this as a requisite. Showing 60 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.

  • Fall 2025
  • Winter 2026
  • Spring 2026
  • Summer 2026
  • Fall 2026
  • Winter 2027
  • Spring 2027

Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.