Mean = M = 4
"e^{-m} = e^{-4} = 0.01831"
a. The probability that on any Particular day there will be fewer than 3 accidents
P(X < 3) = P(X = 0) + P(X = 1) + P(X = 2)
P(X < 3) = "\\frac{e^{-4} \\times 4^0}{0!} + \\frac{e^{-4} \\times 4^1}{1!} + \\frac{e^{-4} \\times 4^2}{2!} = 0.2381"
b. The probability that on any Particular day there will be more than 6 accidents
P(X > 6) = 1 – [P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) + P(X = 4) + P(X = 5)]
P(X > 6) = 1 – 0.78513 = 0.21487
c. Expected number of accidents per day and variance
M = 4
Variance:
"\\sigma^2 = mean = 4"
Standard deviation:
"\\sigma = \\sqrt{4} = 2"
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