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Unformatted text preview: THE UNIVERSITY OF HONG KONG
DEPARTMENT OF STATISTICS AND ACTUARIAL SCIENCE
STAT 1301 PROBABILITY AND STATISTICS I
EXAMPLE CLASS 6
Continuous Distribution
Continuous Uniform Distribution
A random variable X has a continuous uniform distribution , , if f for . Exponential Distribution
A random variable X has an exponential distribution if f
Gamma Distribution , A random variable X has a gamma distribution if f for 0, where , for Γ 0. 0, where 0 and 0. Chisquare Distribution
A random variable X has a chisquare distribution of f / , Γ/ for 0. The parameter v is referred as the degrees of freedom.
Normal Distribution
A random variable X has a normal distribution if f
Beta Distribution
A random variable X has a beta distribution if f
where Ex.1 0 and 0. , for √
Γ
Γ Γ 1 ∞
, ∞, where σ
for 0 0. 1, A random variable Y is said to follow the double exponential distribution if it has the density function

f
,
∞
∞, where
0.
(a) Find the distribution function of Y.
(b) Find the moment generating function of Y.
(c) Find E(Y) and Var(Y). Ex.2 Peggy figures that the total number of thousands of miles that an auto can be driven before it would need
to be junked is an exponential random variable with parameter . Josephine has a used car that she
claims has been driven only 10,000 miles. If Peggy purchases the car, what is the probability that she
would get at least 20,000 additional miles out of it? Repeat under the assumption that the lifetime
mileage of the car is not exponentially distributed but rather is (in thousands of miles) uniformly
distributed over (0, 40). Ex.3 The lung cancer hazard rate of a tyearold male smoker is given by
0.027 0.00025
40 ,
40.
Assuming that a 40yearold male smoker survives all other hazards, what is the probability that he
survives to
(a) age 50 and
(b) age 60 without contracting lung cancer? Ex.4 The length of a certain kind of item is distributed normally with mean 5.8 cm and standard deviation
0.075 cm. Any item whose length exceeds 6.0cm must be scrapped. Find the proportion of scraps in a
large batch of such items. Ex.5 If X has a Chisquare distribution with degrees of freedom 23, find
(a) Pr 10.2
35.17 ;
(b) a and b such that Pr
0.95 and Pr
0.025, where a and b are constants; and
(c) the mean and variance of X. ...
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This note was uploaded on 01/16/2012 for the course STAT 1301 taught by Professor Smslee during the Fall '08 term at HKU.
 Fall '08
 SMSLee
 Statistics, Probability

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