MATH 170SIntroduction to Probability and Statistics 2: Statistics
Mathematics · 4 units · Undergraduate upper division (100-199)
Not open to students with credit for Statistics 100B. Introduction to statistics. Topics include sampling, estimation (maximum likelihood and Bayesian), properties of estimators, regression, confidence intervals, hypotheses testing, analysis of variance.
P/NP or letter grading.
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Requisites
Official UCLA wording
Requisites: courses 31A, 31B, and 170A or 170E or Statistics 100A.
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Everything that has to come before this course, not just the courses named in the requisite above.
MATH 170S
- MATH 31ADifferential and Integral Calculus
- MATH 1Precalculus
- MATH 31BIntegration and Infinite Series
- STATS 100AIntroduction to Probability
- MATH 170AProbability Theory I
- MATH 170EIntroduction to Probability and Statistics 1: Probability
5 direct requisites. Showing 20 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
MATH 170S
- MATH 178BFoundations of Actuarial Mathematics: Additional Topics in Long-Term Actuarial Mathematics
- MATH 178CFoundations of Actuarial Mathematics: Loss Models
- ECON 104Data Science for Economists
- ECON 104LData Science for Economists Laboratory
- ECON 111Theories of Development
- PUB PLC CM171International Development
- ECON 112Policies for Economic Development
- ECON M112AInternational Development
- ECON 111LTheories of Development Laboratory
- ECON 130Public Economics
- ECON 130LPublic Economics Laboratory
- BIOMATH M257Computational Methods for Biostatistical Research
- BIOSTAT M215Survival Analysis
- BIOSTAT 233Statistical Issues in Global Health
- STATS C151Experimental Design
- BIOMATH M280Statistical Computing
- BIOSTAT M257Computational Methods for Biostatistical Research
- STATS 170Introduction to Time-Series Analysis
- BIOMATH M281Survival Analysis
- BIOSTAT M280Statistical Computing
- ECON 103LEconometrics Laboratory
- 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 Design
- ECON 123LForecasting of Asset Prices and Portfolio Design Laboratory
- ECON 144Economic Forecasting
- STATS 102BIntroduction to Computation and Optimization for Statistics
- STATS 102CIntroduction to Monte Carlo Methods
- STATS 140XPCollaboration in Data Science
- STATS 141XPPractice of Data Science
- STATS 143Introduction to Research in Statistics
- STATS 147Data Technologies for Data Scientists
- STATS M148Experience of Data Science
- STATS 153Hierarchical Linear Modeling
11 courses list this as a requisite. Showing 52 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.