a-1. To find the rate parameter λ, we use the formula for the expected value of an exponentially distributed variable:
E(X) = 1/λ
Given that the expected value E(X) is 50, we can solve for λ:
50 = 1/λ
λ = 1/50 = 0.02 (rounded to 3 decimal places)
Therefore, the rate parameter λ is 0.02.
a-2. The standard deviation of an exponentially distributed variable with rate parameter λ is given by the formula:
σ = 1/λ
Using the rate parameter λ = 0.02 we found in part a-1:
σ = 1/0.02 = 50
Therefore, the standard deviation of X is 50.
b. To compute P(44 ≤ X ≤ 56), we use the cumulative distribution function (CDF) of the exponential distribution. The CDF is given by:
CDF(x) = 1 - e^(-λx)
P(44 ≤ X ≤ 56) = CDF(56) - CDF(44)
= (1 - e^(-0.02*56)) - (1 - e^(-0.02*44))
= (1 - e^(-1.12)) - (1 - e^(-0.88))
≈ 0.4970
Therefore, P(44 ≤ X ≤ 56) is approximately 0.4970.
c. Similarly, to compute P(36 ≤ X ≤ 64), we use the CDF:
P(36 ≤ X ≤ 64) = CDF(64) - CDF(36)
= (1 - e^(-0.02*64)) - (1 - e^(-0.02*36))
= (1 - e^(-1.28)) - (1 - e^(-0.72))
≈ 0.5042
Therefore, P(36 ≤ X ≤ 64) is approximately 0.5042.
A random variable X is exponentially distributed with an expected value of 50.
a-1. What is the rate parameter λ? (Round your answer to 3 decimal places.)
a-2. What is the standard deviation of X?
b. Compute P(44 ≤ X ≤ 56). (Round intermediate calculations to at least 4 decimal places and final answer to 4 decimal places.)
c. Compute P(36 ≤ X ≤ 64). (Round intermediate calculations to at least 4 decimal places and final answer to 4 decimal places.)
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