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Suppose calls received at a call centre are well modelled by the Poisson distribution and they are expecting 2.6 calls per minute.If 2 one-minute periods are selected at random from the call log. What is the probability of there being exactly 3 calls in each of the two one-minute periods? Enter your answer to 3 places of decimal.

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Final answer:

The probability of receiving exactly 3 calls in each of two separate one-minute periods when calls follow a Poisson distribution with an average rate of 2.6 calls per minute is 0.050.

Step-by-step explanation:

The student's question involves calculating the probability of receiving exactly 3 calls in each of two separate one-minute periods, given that calls to a call center follow a Poisson distribution with an average of 2.6 calls per minute.

We will denote X as the number of calls received in one minute.

Given that X follows a Poisson distribution with a mean (λ) of 2.6, the probability of receiving exactly 3 calls in one minute is calculated using the formula P(X = k) = (λ^k * e^{-λ}) / k!, where k is the number of calls.

Therefore, we compute P(X = 3) for one-minute period:

P(X = 3) = (2.6^3 * e^{-2.6}) / 3! = 0.224.

To find the probability of this event occurring in both of the two one-minute periods independently, we multiply the probabilities for each period:

P(3 calls in each of two periods) = P(X = 3) * P(X = 3)

= 0.224 * 0.224

= 0.050176

Rounded to three decimal places, the probability is 0.050.

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