BSMA1004 · Knowledge Base
Stats 2 Notes
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Procedures
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750 - Week 1.1- Joint Probability Mass Function (Joint PMF)
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751 - Week 1.2- Marginal Distributions
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752 - Week 1.3- Conditional Distributions
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753 - Week 1.4- Multiple Random Variables (n - 2)
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754 - Week 2.1- Functions of Random Variables
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755 - Week 2.2- Sum (Convolution), Min & Max of Random Variables
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756 - Week 2.3- Independence of Random Variables
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757 - Week 3.1- Expected Value
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758 - Week 3.2- Variance & Standard Deviation
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759 - Week 3.3- Covariance & Correlation
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760 - Week 3.4- Markov & Chebyshev Inequalities
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761 - Week 4.1- Continuous Random Variables & PDFs
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762 - Week 4.2- Common Continuous Distributions
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763 - Week 4.3- Expectations for Continuous Random Variables
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764 - Week 5.1- Joint Continuous Distributions
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765 - Week 5.2- Law of Large Numbers & Central Limit Theorem
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766 - Week 5.3- Bivariate Normal Distribution
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767 - Week 6.1- Moment Generating Functions
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768 - Week 6.2- Sampling Distributions
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769 - Week 7.1- Point Estimation — Method of Moments (MME)
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770 - Week 7.2- Maximum Likelihood Estimation (MLE)
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771 - Week 8.1- Properties of Estimators
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772 - Week 8.2- Confidence Intervals
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773 - Week 9- Bayesian Estimation
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774 - Week 10.1- Introduction to Hypothesis Testing
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