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## Sample Document Text

When to use different methods
Binomial Distribution
• • • Discrete random variable Used when there are only two answers (i.e. W (win) & L (loose)) binomialpdf(n,π,x) ○ n= number of trials ○ π = the probability at the desired trial; aka theoretical probability ○ x = what exact trial you are seeking beginning of binomial pdf is combination an experiment conducted once is Bernoulli experiment
• •
Poisson Distribution
• • • • • discrete probability distribution measures the number of occurrences over a period of time measures the probability of the # of items from a specific region has a memoryless property- # of occurrences in one time intercal has no effect on a previous or latter disjoint time interval m=λt ○ λ = average rate ○ t = timespan poissonpdf(m,x) expected value = µ = E(X) = m standard deviation = σ = SD(X) = m X, σ, and µ have the same units
• • • •
Normal Distribution
• • • • • • • Continuous probability distribution; aka Gaussian Dist...

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