From Counting to Probability
Recommended next 1. Foundations: Sets, Events and Axioms
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Foundations: Sets, Events and Axioms appears earlier in the syllabus and supports Expectation, Variance & Moments. Expectation, Variance & Moments appears earlier in the syllabus and supports Poisson Process and Distribution. Poisson Process and Distribution appears earlier in the syllabus and supports PDFs, CDFs and Quantiles. PDFs, CDFs and Quantiles appears earlier in the syllabus and supports Normal Distribution and Standardization. Normal Distribution and Standardization appears earlier in the syllabus and supports Point Estimation and Bias. Point Estimation and Bias appears earlier in the syllabus and supports z-Intervals with Known σ. z-Intervals with Known σ appears earlier in the syllabus and supports Null and Alternative Hypotheses. Null and Alternative Hypotheses appears earlier in the syllabus and supports Two-Sample t-Test and Interval. Two-Sample t-Test and Interval appears earlier in the syllabus and supports Fitting a Line by Least Squares. prerequisite 1 current Foundations: Sets, Events and Axioms 2 checks 3 cards 2 next Expectation, Variance & Moments 2 checks 3 cards 3 ready Poisson Process and Distribution 2 checks 3 cards 4 ready PDFs, CDFs and Quantiles 2 checks 3 cards 5 ready Normal Distribution and Standardization 2 checks 3 cards 6 ready Point Estimation and Bias 2 checks 3 cards 7 ready z-Intervals with Known σ 2 checks 3 cards 8 ready Null and Alternative Hypotheses 2 checks 3 cards 9 ready Two-Sample t-Test and Interval 2 checks 3 cards 10 ready Fitting a Line by Least Squares 2 checks 3 cards prerequisite relationship
Foundations: Sets, Events and Axioms -> Expectation, Variance & Moments
Foundations: Sets, Events and Axioms appears earlier in the syllabus and supports Expectation, Variance & Moments.
Unit 1 From Counting to Probability Unit 2 Random Variables and Distributions Unit 3 Named Discrete Models Unit 4 Continuous Random Variables Unit 5 The Normal Distribution and CLT Unit 6 Sampling Distributions and Estimation Unit 7 Confidence Intervals for Means Unit 8 Hypothesis Testing Basics Unit 9 Comparing Two Populations Unit 10 Simple Linear Regression