Answer:
Let X be the random variable representing the amount of beer poured by the filling machine. Since X follows a normal distribution with mean μ = 12.10 and standard deviation σ = 0.05, we can use the standard normal distribution to find the probability that a bottle contains between 12.00 and 12.06 ounces.
First, we need to standardize the values 12.00 and 12.06 by subtracting the mean and dividing by the standard deviation:
z1 = (12.00 - 12.10) / 0.05 = -2 z2 = (12.06 - 12.10) / 0.05 = -0.8
Now we can use a standard normal distribution table to find the probability that a standard normal random variable Z is between -2 and -0.8:
P(-2 < Z < -0.8) = P(Z < -0.8) - P(Z < -2) ≈ 0.2119 - 0.0228 ≈ 0.1891
So, the probability that a bottle contains between 12.00 and 12.06 ounces of beer is approximately 0.1891.
Explanation: