Read: Week 1.1: Joint Probability Mass Functi…
Start with the chapter spine
Open practice dock
Drills and weak-topic replay
Study library
Search all imported chapters
Stats 2
Continue from the last thing you actually touched, instead of hunting through the registry again.
ContinueNo assignments matching your criteria.
Try a broader filter or jump back to the course hub to browse the full assignment set.
Week 1.1: Joint Probability Mass Function (Joint PMF)
Deep dive into patterns and axioms.
Week 1.2: Marginal Distributions
Deep dive into patterns and axioms.
Week 1.3: Conditional Distributions
Deep dive into patterns and axioms.
Week 1.4: Multiple Random Variables (n > 2)
Deep dive into patterns and axioms.
Week 2.1: Functions of Random Variables
Deep dive into patterns and axioms.
Week 2.2: Sum (Convolution), Min & Max of Random Variables
Deep dive into patterns and axioms.
Week 2.3: Independence of Random Variables
Deep dive into patterns and axioms.
Week 3.1: Expected Value
Deep dive into patterns and axioms.
Week 3.2: Variance & Standard Deviation
Deep dive into patterns and axioms.
Week 3.3: Covariance & Correlation
Deep dive into patterns and axioms.
Week 3.4: Markov & Chebyshev Inequalities
Deep dive into patterns and axioms.
Week 4.1: Continuous Random Variables & PDFs
Deep dive into patterns and axioms.
Week 4.2: Common Continuous Distributions
Deep dive into patterns and axioms.
Week 4.3: Expectations for Continuous Random Variables
Deep dive into patterns and axioms.
Week 5.1: Joint Continuous Distributions
Deep dive into patterns and axioms.
Week 5.2: Law of Large Numbers & Central Limit Theorem
Deep dive into patterns and axioms.
Week 5.3: Bivariate Normal Distribution
Deep dive into patterns and axioms.
Week 6.1: Moment Generating Functions
Deep dive into patterns and axioms.
Week 6.2: Sampling Distributions
Deep dive into patterns and axioms.
Week 7.1: Point Estimation — Method of Moments (MME)
Deep dive into patterns and axioms.
Week 7.2: Maximum Likelihood Estimation (MLE)
Deep dive into patterns and axioms.
Week 8.1: Properties of Estimators
Deep dive into patterns and axioms.
Week 8.2: Confidence Intervals
Deep dive into patterns and axioms.
Week 9: Bayesian Estimation
Deep dive into patterns and axioms.
Week 10.1: Introduction to Hypothesis Testing
Deep dive into patterns and axioms.
Week 10.2: Z-test & p-value
Deep dive into patterns and axioms.