24. Wrong Number. A classic study by F. Thorndike on the num- ber of calls to a wrong number appeared in the paper “Applica- tions of Poisson's Probability Summation" (Bell Systems Technical Journal, Vol. 5, pp. 604–624). The study examined the number o calls to a wrong number from coin-box telephones in a large trans portation terminal. According to the paper, the number of calls to a wrong number. X, in a 1-minute period has a Poisson distribution

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24. Wrong Number. A classic study by F. Thorndike on the num-
ber of calls to a wrong number appeared in the paper “Applica-
tions of Poisson's Probability Summation" (Bell Systems Technical
Journal, Vol. 5, pp. 604–624). The study examined the number of
calls to a wrong number from coin-box telephones in a large trans-
portation terminal. According to the paper, the number of calls to a
wrong number, X, in a 1-minute period has a Poisson distribution
with parameter ì = 1.75. Determine the probability that during a
1-minute period the number of calls to a wrong number will be
a. exactly two.
b. between four and six, inclusive.
%3D
c. at least one.
Transcribed Image Text:24. Wrong Number. A classic study by F. Thorndike on the num- ber of calls to a wrong number appeared in the paper “Applica- tions of Poisson's Probability Summation" (Bell Systems Technical Journal, Vol. 5, pp. 604–624). The study examined the number of calls to a wrong number from coin-box telephones in a large trans- portation terminal. According to the paper, the number of calls to a wrong number, X, in a 1-minute period has a Poisson distribution with parameter ì = 1.75. Determine the probability that during a 1-minute period the number of calls to a wrong number will be a. exactly two. b. between four and six, inclusive. %3D c. at least one.
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