Let Z be a standard normal random variable (mean = 0
and sd = 1) and calculate the following probabilities:
(a) Pr(0 ≤ Z ≤
2.49)
(b) Pr(0 ≤ Z ≤ 1)
(c)
Pr(−2.50 ≤ Z ≤ 0)
(d)
Pr(−2.50 ≤ Z ≤ 2.50)
(e) Pr(Z ≤ 1.52)
Let Z be a standard normal random variable.
Using standard normal z-table we find the following probabilities,
a) Pr(0 ≤ Z ≤ 2.49)
=Pr(Z ≤ 2.49) - Pr(Z ≤ 0)
= 0.9936 - 0.5000
= 0.4936
=> Pr(0 ≤ Z ≤ 2.49) = 0.4936
b) Pr(0 ≤ Z ≤ 1)
=Pr(Z ≤ 1) - Pr(Z ≤ 0)
= 0.8413 - 0.5000
= 0.3413
=> Pr(0 ≤ Z ≤ 1) = 0.3413
c) Pr(-2.50 ≤ Z ≤ 0)
= Pr(Z ≤ 0) - Pr(Z ≤ -2.50)
= 0.5000 - 0.0062
= 0.4938
=> Pr(-2.50 ≤ Z ≤ 0) = 0.4938
d) Pr(-2.50 ≤ Z ≤ 2.50)
= 2 * Pr(Z ≤ 2.50) - 1
= (2 * 0.9938) - 1
= 1.9876 - 1
= 0.9876
=> Pr(-2.50 ≤ Z ≤ 2.50) = 0.9876
e) Pr(Z ≤ 1.52) = 0.9357
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