Since the temperatures are normally distributed and the population standard deviation is known, we would calculate the z score by applying the formula;
z = (x - μ)/σ
where
x represents sample mean
σ represents population standard deviation
μ represents population mean
From the information given,
μ = 1025
σ = 40
x = 1115
z = (1115 - 1025)/40 = 2.25
We want to find P(x > 1115)
P(x > 1115) = 1 - P(x ≤ 1115)
P(x ≤ 1115) is the area to the left of z = 2.25 from the normal distribution table. Thus,
P(x ≤ 1115) = 0.9878
P(x > 1115) = 1 - 0.9878
P(x > 1115) = 0.0122
The proportion of bricks that crack during the firing process is closest to 0.0122