When a normal random variable Y is transformed to a standard normal random variable Z, the 3.4.1 _value of Z is 1 and 3.4.2 value is 0. The probability density function for a standard normal random variable is f(z) = 3.4.3 Y possesses the density function f(V) = {2(2- y), 0 < y< 2 0, elsewhere S2(2 –: with the mean = 2/3 and the variance = 2/9. Using we find that: P(\Y - µl < 20) = P(Y-< 0.9428) = P(-.2761 < Y < 1.609).

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When a normal random variable Y is transformed to a standard normal random variable Z, the
3.4.1
value of Z is 1 and
3.4.2
value is 0. The
probability density function for a standard normal random variable is f(z) =
3.4.3
Y possesses the density function
f(V) = {2(2-y), 0<ys2
0, elsewhere
with the mean = 2/3 and the variance = 2/9. Using
we find that:
P(\Y - µl < 20) :
(r -< 0.9428) = P(-.2761 < Y < 1.609).
= P
%3D
Transcribed Image Text:When a normal random variable Y is transformed to a standard normal random variable Z, the 3.4.1 value of Z is 1 and 3.4.2 value is 0. The probability density function for a standard normal random variable is f(z) = 3.4.3 Y possesses the density function f(V) = {2(2-y), 0<ys2 0, elsewhere with the mean = 2/3 and the variance = 2/9. Using we find that: P(\Y - µl < 20) : (r -< 0.9428) = P(-.2761 < Y < 1.609). = P %3D
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