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Quantitative Reasoning Midterm Exam Test Questions – Advanced Sampling, Rates, Confounding, Association, and Variable Types (GEA1000 NUS Practice) 2025 - 2026
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    Quantitative Reasoning Midterm Exam Test Questions – Advanced Sampling, Rates, Confounding, Association, and Variable Types (GEA1000 NUS Practice) 2025 - 2026

  • This document compiles challenging midterm questions on quantitative reasoning concepts relevant for GEA1000 at the National University of Singapore. Topics include interpreting contingency tables, Simpson’s paradox, confounding variables, association analysis, and probability calculations. It covers classification of variable types (ordinal, nominal, numerical), random assignment proportions in experiments, marginal and joint rate calculations, as well as interpreting significance of rates us...
  • saraciousstuvia
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GEA1000 Cheat Sheet AY 2025/2026,Complete Guide to Sampling, Probability, Statistical Inference, and Research Design (National University of Singapore)
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    GEA1000 Cheat Sheet AY 2025/2026,Complete Guide to Sampling, Probability, Statistical Inference, and Research Design (National University of Singapore)

  • This concise and practical cheat sheet covers all essential topics in GEA1000 Quantitative Reasoning with Data for AY 2025/2026 at the National University of Singapore. It includes clear definitions of populations, samples, sampling frames, probability and non-probability sampling methods, and criteria for generalizability. It explains types of variables, properties of mean, median, standard deviation, and interquartile range, along with experimental vs. observational study designs, blinding tec...
  • saraciousstuvia
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GEA1000 Quantitative Reasoning with Data – Complete Summary Notes (National University of Singapore) ,Sampling, Statistics, Probability, and Hypothesis Testing 2025 - 2026
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    GEA1000 Quantitative Reasoning with Data – Complete Summary Notes (National University of Singapore) ,Sampling, Statistics, Probability, and Hypothesis Testing 2025 - 2026

  • This document provides a comprehensive, student-friendly summary of GEA1000 Quantitative Reasoning with Data from the National University of Singapore. It covers all key topics, including definitions of population and sampling concepts, detailed sampling methods (simple random, systematic, stratified, cluster, convenience), types of variables, measures of central tendency and dispersion, study design (experimental vs. observational), exploratory data analysis with histograms and boxplots, bivari...
  • saraciousstuvia
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