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Unformatted text preview: Determine a) ( 62) P X ≤ ( 62) P X ≤ =F(62)= 0.72745 b) (50 ) P X ≤ (50 ) P X ≤ =F(100)F(49)=1.00.13079=.86921 4. The number of patients requiring certain type of surgery is well modeled by a Poisson distribution with a rate of 1.75 = per week. Determine the probability that there will be three surgeries required next week. P(3) = 0.155220 5. Make a graph like the one on page 22 of the Minitab book (including the line at y = 0). Use 40 n = and .65 p = . Label the column appropriately so that the graph says b(n = 40, p = .65). Also, add a footnote with you last name to the graph. Replace the graph below with the proper one (same size as this one). 40 30 20 10 0.14 0.12 0.10 0.08 0.06 0.04 0.02 0.00 x b(n=40,p=.65) Scatterplot of b(n= 40,p= .65) vs x Print the two pages and staple them together (or no staple if you use 2 sided printing)....
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 Fall '08
 KUHLMAN
 Binomial, Poisson Distribution, Poisson process, Sarah Jordan, Class Number A815

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