-Here is what we know:
The values of the monthly utility bills in a city are normally distributed
The mean is $100
The standard deviation is $12
Part a)
First, we must find the Z-score for x = $70:
[tex]Z=\frac{70-100}{12}=-2.5[/tex]
According to the Z-score table, the probability of finding x less than $70 such as z is less than -2.5 is P(Z < -2.5) = 1 - 0.9938 = 0.0062
Part b)
For x = $90, we repeat the same initial steps from part a:
[tex]Z=\frac{90-100}{12}\approx-0.83[/tex]
According to the Z-score table, we have P(Z <= -0.83) = 0.2033.
For x = $120, we also have:
[tex]Z=\frac{120-100}{12}=1.67[/tex]
According to the Z-score table, we have P(Z < 1.67) = 0.9525
Therefore, the probability that we will fiind a bill valued between $90 and $120 is given by: P(Z < 1.67) - P(Z < -0.83) = 0.9525 - 0.2033 = 0.7492
Part c)
For X = $140, the z score is given by:
[tex]Z=\frac{140-100}{12}\approx3.33[/tex]
According to the Z-score table, we have: P(Z > $140) = 1 - 0.9996 = 0.0004