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Assume that the time between emails arriving in your inbox is distributed exponentially with mean μ=10 minutes. At 3:00 pm, an email arrives. You decide to stare at your inbox until the next email arrives.

What is the probability that you will stare at your inbox for less than 6 minutes? Round to 3 decimal places.

User Bvz
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Answer:

45.1%

Explanation:

To find the probability that you will stare at your inbox for less than 6 minutes, we can use the cumulative distribution function (CDF) of the exponential distribution.

The exponential distribution is often used to model the time between events that occur independently at a constant average rate. In this case, the time between emails arriving in your inbox is distributed exponentially with a mean of μ=10 minutes.

The CDF of the exponential distribution is given by the formula: F(x) = 1 - e^(-λx), where λ is the rate parameter of the distribution and x is the value for which we want to calculate the probability.

In this case, since the mean μ=10 minutes, we can find the rate parameter λ by taking the reciprocal of the mean: λ = 1/μ = 1/10 = 0.1.

Now, let's calculate the probability that you will stare at your inbox for less than 6 minutes:

F(6) = 1 - e^(-0.1 * 6) = 1 - e^(-0.6) ≈ 0.451

Therefore, the probability that you will stare at your inbox for less than 6 minutes is approximately 0.451 (rounded to 3 decimal places).

In other words, there is a 45.1% chance that the next email will arrive within 6 minutes after the email you received at 3:00 pm.

User JD Solanki
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