Answer:
A) P(x> 2575) = 14.92%
B) P(2575 < X<3300) = 14.32%
C) ( P X < 1225) = 4.55%
Step-by-step explanation:
Given data:
[tex]\mu = $2060[/tex]
[tex]\sigma = $495[/tex]
a) P(x> 2575)
1 - P(X<2575)
[tex]1 - P(\frac{x-\mu}{\sigma} < \frac{2575 - 2060}{495})[/tex]
[tex]1 - P(z < \frac{515}{495})[/tex]
1 - P( Z< 1.04)
1 - 0.8508
0.1492
14.92%
B) P(2575 < X<3300)
[tex]P(\frac{2575 - 2060}{495} <x < \frac{3300 -2060}{495})[/tex]
P (1.04 < z< 2.51)
P(z <2.51) - P(Z<1.04)
0.994 - 0.8508 = 0.1432 = 14.32%
C) ( P X < 1225)
[tex] P( \frac{x - \mu}{\sigma} < \frac{1225 - 2060}{495})[/tex]
[tex]P( z < \frac{-835}{495}[/tex]
P ( Z< -1.69)
= 0.0455 = 4.55%