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Teaser, Looking at Data, Scatter Plots, Bar Charts, Pie Charts, Programming Charts (Optional), Admissions Case Study, Problem Set 1.
Probability, Conditional Probability, Bayes Rule, Programming Bayes Rule (Optional), Probability Distributions, Correlation vs. Causation, Problem Set 2.
Estimation, Averages, Variance, Programming Estimators (Optional), Problem Set 3.
Outliers, Binomial Distribution, Central Limit Theorem, Central Limit Theorem Programming (Optional), The Normal Distribution, Manipulating Normals, Most Better than Average, Problem Set 4.
Sebastian's Weight and Proofs (Optional), Confidence Intervals, Normal Quantiles, Hypothesis Test, Hypothesis Test 2, Programming Tests and Intervals (Optional), Problem Set 5.
Regression, Correlation, Monty Hall Problem (Optional), Weight Case Studies, Flash Crash Example, Challenger Example, Problem Set 6.
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