Problem 7. The sulfur dioxide concentration Y, in ppm, in a certain city is postulated to have a gamma-type density function: fy (y; 0) = - 7, 0 < y< 0, ;& >0. Let Y1,--- ,Y, constitute a random sample of size n from fy(y:; o), so that y1,--- ,Yn are the actual realizations (data points). 1. Find the expectation of a random variable distributed Y ~ fy(y; o) 2. Use the Central Limit Theorem to derive a (1 – a) - 100% confidence interval for the parameter o. 3. If n = 50 and ỹ = 10, use the derived confidence interval to compute a 95% parametric confi- dence interval for o.

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Problem 7. The sulfur dioxide concentration Y, in ppm, in a certain city is postulated to have a
gamma-type density function:
1
fy (y; o) =
0 < y < 00, ;a > 0.
Let Y1,..., Y, constitute a random sample of size n from fy(y; o), so that Y1, , Yn are the actual
realizations (data points).
1. Find the expectation of a random variable distributed Y ~ fr(y; o)
2. Use the Central Limit Theorem to derive a (1 – a) - 100% confidence interval for the parameter
o.
3. If n = 50 and ỹ = 10, use the derived confidence interval to compute a 95% parametric confi-
dence interval for o.
Transcribed Image Text:Problem 7. The sulfur dioxide concentration Y, in ppm, in a certain city is postulated to have a gamma-type density function: 1 fy (y; o) = 0 < y < 00, ;a > 0. Let Y1,..., Y, constitute a random sample of size n from fy(y; o), so that Y1, , Yn are the actual realizations (data points). 1. Find the expectation of a random variable distributed Y ~ fr(y; o) 2. Use the Central Limit Theorem to derive a (1 – a) - 100% confidence interval for the parameter o. 3. If n = 50 and ỹ = 10, use the derived confidence interval to compute a 95% parametric confi- dence interval for o.
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