How can i calculate the given events? (details inside, a bit complicated for me)

let #y=(x-z)/2#, where x is a normal random variable with mean z and variance of 4.

how can i calculate:
1)P{#-2 \leq x-z \leq 4#}

2)what is #E[Y^2]#

3)how can i calculate #p{Y \leq a | B}# (for every #a \in RR# if known that #B={|x-z| \leq 2}# occured?

if you can, please explain how you solved. i find this question very difficult and would appreciate learning how to solve it

1 Answer
May 5, 2018

#"See explanation"#

Explanation:

#"y is standard normal (with mean 0 and standard deviation 1)"#
#"So we use this fact."#

#"1) "= P[ - 1 <= (x-z)/2 <= 2 ]#
#"We now look up the z values in a table for z values for"#
#"z = 2 and z = -1. We get"#
#0.9772" and "0.1587.#
#=> P = 0.9772 - 0.1587 = 0.8185

#"2) "var = E[x^2] - (E[x])^2#
#=> E[x^2] = var + (E[x])^2#
#"Here we have var = 1 and mean = E[Y] = 0."#
#=> E[Y^2] = 1 + 0^2 = 1#

#"3) "P[ Y <= a | B ] = (P[ Y <= a" AND "B ]) / (P[ B ])#
#P[ B ] = 0.8413 - 0.1587 = 0.6826 " (z values table)"#
#P[ Y <= a " AND "B] = 0, " if "a < -1#
#P[ Y <= a " AND "B] = P[ -1 <= Y <= a ]" , if "-1 <=a <= 1#
#P[ Y <= a " AND "B] = P[B]" , if "a > 1#

#=> P[ Y <= a | B ] = 0, " if "a < - 1#
#=> P[ Y <= a | B ] = (T(a) - 0.1587)/0.6826, " if "-1 <= a <= 1#
#"(with T(a) the value in z values table for z=a)"#
#=> P[ Y <= a | B ] = 1, " if "a > 1#