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  1. Nicole Seaman

    P1.T2.20.2. More probabilities and Bayes rule

    Learning objectives: Calculate the probability of an event for a discrete probability function. Define and calculate a conditional probability. Distinguish between conditional and unconditional probabilities. Explain and apply Bayes’ rule. Questions: 20.2.1. The probability graph below...
  2. Nicole Seaman

    P1.T2.708. Probability function fundamentals (Miller Ch. 2)

    Learning objectives: Describe and distinguish between continuous and discrete random variables. Define and distinguish between the probability density function, the cumulative distribution function, and the inverse cumulative distribution function. Calculate the probability of an event given a...