GRE General Test (for MS/PhD Statistics and Biostatistics)

USA / global · ETS · pg · unverified source

0practice questions written to this syllabus
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Format

About 1 h 58 min, section-level adaptive: Analytical Writing, Verbal Reasoning, Quantitative Reasoning.

Sections

Over the years

Many US statistics programmes have made the GRE optional since 2020; check each programme. Structure as recorded in the Agribusiness track from the ETS page; not re-read for this track.

Official source: https://www.ets.org/gre/test-takers/general-test/prepare/test-structure.html

We have not yet written practice questions tagged to this exam; see the subjects its syllabus covers.

Agricultural Statistics & Data Science subjects

Real Analysis for Statistics11 unitsLinear Algebra & Matrix Theory for Statistics12 unitsDifferential Equations, Finite Differences & Numerical Analysis11 unitsStatistical Methods for Agricultural Sciences14 unitsExploratory Data Analysis & Statistical Graphics10 unitsAgriculture for Statisticians10 unitsProgramming for Statistics & Data (R and Python)10 unitsComputer Science Fundamentals: Architecture, Data Structures, Networks & Operating Systems11 unitsProbability Theory11 unitsProbability Distributions & Sampling Distributions11 unitsStochastic Processes11 unitsStatistical Inference I: Estimation11 unitsStatistical Inference II: Testing of Hypotheses & Sequential Analysis11 unitsNonparametric & Rank-Based Methods11 unitsLinear Models & Regression Analysis13 unitsMultivariate Analysis12 unitsCategorical Data Analysis & Generalized Linear Models11 unitsBayesian Inference11 unitsPrinciples of Experimental Design & Basic Designs12 unitsFactorial Experiments, Confounding, Split- & Strip-Plot Designs11 unitsIncomplete Block Designs & Design Construction10 unitsResponse Surface, Mixture & Optimal Designs9 unitsGroups of Experiments, Multi-Location Trials & Genotype x Environment Analysis9 unitsSpecialised Agricultural Experiments: Cropping Systems, Animal & On-Farm Trials10 unitsLinear Mixed Models, Variance Components & Spatial Analysis of Field Trials10 unitsAdvanced Design of Experiments (PhD)10 unitsSampling Theory I: Simple, Stratified, Systematic, Ratio & Regression Estimation10 unitsSampling Theory II: Unequal Probability, Cluster, Multistage & Repeated Sampling12 unitsSmall Area Estimation & Model-Based Survey Inference10 unitsCrop Area & Yield Estimation: Crop-Cutting Experiments12 unitsAgricultural Statistics System, Census & Official Statistics13 unitsSurvey Design, Questionnaires, Field Operations & Non-Sampling Errors11 unitsDemography & Vital Statistics9 unitsIndex Numbers, National Accounts & Agricultural Economic Statistics10 unitsStatistical Genetics: Population & Quantitative Genetics11 unitsBiometrical Techniques in Plant & Animal Breeding11 unitsStatistical Genomics: QTL Mapping, GWAS & Genomic Selection10 unitsBioinformatics & Computational Biology10 unitsBioassay, Survival & Epidemiological Statistics11 unitsStatistical Ecology, Environmental & Fisheries Statistics10 unitsTime Series Analysis12 unitsCrop Forecasting, Weather-Based Models & Non-linear Growth Models11 unitsCausal Inference, Panel Data & Efficiency Analysis12 unitsOptimization Techniques for Statisticians10 unitsActuarial Statistics & Crop Insurance Design10 unitsStatistical Quality Control & Reliability10 unitsStatistical Computing: Simulation, Resampling & Algorithms11 unitsData Analysis with Statistical Software & Reproducible Research10 unitsStatistical & Machine Learning for Agriculture12 unitsSpatial Statistics, Geostatistics & Remote Sensing for Agriculture10 unitsDatabases, Big Data & Agricultural Information Systems10 unitsStatistical Consulting, Research Methodology & Scientific Communication11 units

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