Unformatted text preview: is an expected occurrence that will effect where a product or resources will move to in the production process. 4) What is the difference between a discrete random variable and a continuous random variable? Discrete random variables, while still random, will be given a specific range of values within a range. A continues random variable can take on any real number within a range. 5) What distribution is often used for modeling (representing) how the time to complete a task? Gamma (beta or alpha) 6) SuperBurger has a single drivethrough window to serve its driveup customers (with a single line of cars waiting for service). Cars arrive, on average, every 5 minutes (exponentially distributed). We can service, on average, 20 cars per hour (Poisson distributed). a) What is the distribution of the arrival rate? 5 Minutes b) What are the values of μ (mu) and λ (lambda)? λ = 60/5 = 12 customers an hour µ = 1/20 = .05*60 = 3 Minutes...
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 Spring '10
 Seese
 Probability distribution, Probability theory, discrete random variable, Daniel McAdams, mean wait times

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