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Transcript
Prep-Work (Distributions)
1)Let X be the random variable whose c.d.f. is given below.
0
0.3


FX ( x)  0.5
0.8


1.0
if x  5
if 5  x  10
if 10  x  15
if 15  x  20
if 20  x
Compute the mean,  X . (Hint: First identify all possible values of X, then compute values for
the p.m.f., f X (x) ).
2)Let X be binomial random variable with n  40 and p  0.15 . Use Excel to compute (i)
f X (8) and FX (8) .
3)Let X be a continuous random variable that is uniform on the interval [0,10] . (i) What is the
probability that X is at most 8.75? (ii) What is the probability that X is no less than 4.25?
4)Let W be the working lifetime, measured in years, of the microchip in your new digital watch.
Suppose that W has an exponential distribution with mean 4 years. Use Integrating.xls and the
probability density function fW to compute the probabilities that the chip lasts for (i) at least 8
years and (ii) at most 2 years.
5) Let X be an exponential random variable with  X  9.2 . Compute the following. (i) f X (6) .
(ii) P( X  6) . (iii) FX (6) . (iv) P( X  6) . (v) E ( X ) .
6)Use Integrating.xls to determine whether or not the function given below could be a p.d.f. for
some continuous random variable.
1.2  x 2  1.2  x
f X ( x)  
0
if 0  x  1
elsewhere