5. The number of misprints on a page of the Daily Mercury has a Poisson distribution with mean 1.2. Find the probability that the number of errors a. On page 4 is 2 b. On page 3 is less than 3 c. On first 10 pages totals 5 d. On all 40 pages adds up to at least 3.
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The probability of observing \(x\) events in an interval is given by: \[ P(X = x) = \frac{e^{-\lambda} \lambda^x}{x!} \] where \(\lambda\) is the average number of events in an interval, \(e\) is the base of the natural logarithm (approximately equal to 2.71828), Show more…
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