A study of four blocks containing 52 one-hour parking spaces was carried out and the results are given in the following table. Number of vacant one-hour parking spaces per observation period Observed frequency 2 3 26 31 45 20 15 7 3 Assuming that the data follow a Poisson distribution, determine: a) the mean number of vacant parking spaces, b) the standard deviation both ( i) from the given data and (ii) from the theoreti- cal distribution, and c) the probability of finding one or more vacant one-hour parking spaces, calculating from the theoretical distribution.
a)
the mean number of vacant parking spaces:
"\\lambda=\\sum x_1\/n=\\sum x_1\/9=16.89"
b)
the standard deviation from the given data:
"\\sigma=\\sum (x_i-\\lambda)^2\/(n-1)=14.96"
the standard deviation from the Poisson distribution:
"\\sigma=\\sqrt{\\lambda}=\\sqrt{16.89}=4.11"
c)
for Poisson distribution:
"P(x=k)=\\frac{\\lambda^k e^{-\\lambda}}{k!}"
the probability of finding one or more vacant one-hour parking spaces:
"P(x\\ge 1)=1-P(0)=1-e^{-\\lambda}=1-e^{-16.89}=0.999999954"
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