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3 cards from this section. Quick, good the night before a test.
Calculate the expectation for discrete variable X with values 4, 5, 6 and probabilities 0.1, 0.4, 0.5 respectively.
Use the formula E[X] = Σx * P(X=x).
What does it mean if Cov(X,Y) = 0?
Consider the relationship between correlation and covariance.
What is the expectation of a random variable?
Think about how we calculate averages.
Is Cov(X,Y) positive, negative, or zero if X and Y are independent?
Consider the definition of independent variables.
Given the joint distribution P(X,Y) for X and Y, how do you determine if X and Y are independent?
Review the independence formula.
For a dataset of heights and weights, calculate the correlation coefficient. Explain what it tells you about the relationship.
Consider the meaning of ρ values in correlation.
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