Question

Let X denote the distance (m) that an animal moves from its birth site to the first territorial vacancy it encounters. Suppose that for banner-tailed kangaroo rats, X has an exponential distribution with parameter λ = 0.0143. (a) What is the probability that the distance is at most 100 m? What is the probability that the distance is at most 200 m? What is the probability that the distance is between 100 m and 200 m? (b) What is the probability that distance exceeds the mean distance by more than 2 standard deviations? (c) What is the value of the median distance?

Answer 1

Answer and Step-by-step explanation: For an exponential distribution, the probability distribution function is:

f(x) = λ.
`e^(-\lambda.x)`

and the cumulative distribution function, which describes the probability distribution of a random variable X, is:

F(x) = 1 -
`e^(-\lambda.x)`

(a) Probability of distance at most 100m, with λ = 0.0143:

F(100) = 1 -
`e^(-0.0143.100)`

F(100) = 0.76

Probability of distance at most 200:

F(200) = 1 -
`e^(-0.0143.200)`

F(200) = 0.94

Probability of distance between 100 and 200:

F(100≤X≤200) = F(200) - F(100)

F(100≤X≤200) = 0.94 - 0.76

F(100≤X≤200) = 0.18

(b) The mean, E(X), of a probability distribution is calculated by:

E(X) =
`(1)/(\lambda)`

E(X) =
`(1)/(0.0143)`

E(X) = 69.93

The standard deviation is the square root of variance,V(X), which is calculated by:

σ =
`\sqrt{(1)/(\lambda^(2)) }`

σ =
`\sqrt{(1)/(0.0143^(2)) }`

σ = 69.93

Distance exceeds the mean distance by more than 2σ:

P(X > 69.93+2.69.93) = P(X > 209.79)

P(X > 209.79) = 1 - P(X≤209.79)

P(X > 209.79) = 1 - F(209.79)

P(X > 209.79) = 1 - (1 -
`e^(-0.0143*209.79)`)

P(X > 209.79) = 0.0503

(c) Median is a point that divides the value in half. For a probability distribution:

P(X≤m) = 0.5

`\int\limits^m_0 f({x}) \, dx` = 0.5

`\int\limits^m_0 {\lambda.e^(-\lambda.x)} \, dx` = 0.5

`\lambda.(e^(-\lambda.x))/(-\lambda)` =
`-e^(-\lambda.x) + e^(0)`

`1 - e^(-\lambda.m)` = 0.5

`-e^(-\lambda.m)` = - 0.5

ln(
`e^(-0.0143.m)`) = ln(0.5)

-0.0143.m = - 0.0693

m = 48.46