In: Statistics and Probability
Problem: Using the alternative-parameter method, determine the parameters of the following distributions based on the given assessments.
Find the parameter value β for the exponential distribution given:
PE (T ≤ 15 \ β) = 0.50.
Find the parameters μ and s for a normal distribution given:
PN (Y ≤ 25\ μ, s) = 0.25 and PN (Y ≤ 125\ μ, s) = 0.75
Find the Min, Most Likely, and Max for the triangular distribution given:
PT (Y ≤ 15\Min, Most Likely, Max) = 0.15
PT (Y ≤ 50\Min, Most Likely, Max) = 0.50, and
PT (Y > 95\Min, Most Likely, Max) = 0.05
Find the parameters values a1 and a2 for the beta distribution given:
PB (Q ≤ 0.3\a1, a2) = 0.05 and PB (Q ≤ 0.5\a1, a2) = 0.25
1. pmf of exponential distribution with parameter β is: f(x) =(1/β)e-x/βdx and
CDF = P(X ≤ t) = 1 - e-t/β ……………………………………………..(1)
2. If X is Normal with parameters, µ and σ, P(X ≤ t) = P[Z ≤ {(t - µ)/σ}], where Z is the Standard Normal Distribution
Now to work out the solution,
Part (a)
Exponential distribution
Given, P(X ≤ 15) = 0.5, by (1), 1 - e-15/β = 0.5. Transposing and taking natural log,
β = 21.64 ANSWER
Part (b)
Normal distributin
Given P(X ≤ 125) = 0.25, by (2), P[Z ≤ {(125 - µ)/σ)}] = 0.25
Extrapolating from Standard Normal Distribution Tables, {(125 - µ)/σ)} = - 0.6467 or
µ - 0.6467σ = 125 ………………………….(3)
Also given P(X ≤ 125) = 0.75, which obviously cannot be correct. So, the solution cannot be completed.
Just to give directions for completing,
In the second probability, the value cannot be 125. It must be a value greater than 125. Say that value is 250. Then, we will have P(X ≤ 250) = 0.75. Extrapolating from Standard Normal Distribution Tables, {(250 - µ)/σ)} = 0.6467 or
µ + 0.6467σ = 250 ………………………….(4)
(3) + (4): 2µ = 375 or µ = 187.5 ……………(5)
(5) in (4): σ = 62.5/0.6467 = 96.64 ANSWER 2