A manufacturing lab monitors the volume and composition of industrial coolant.
The volume, VVV ml, of a standard canister is modeled by a normal distribution with a mean of 450.5450.5450.5 and a standard deviation of 2.42.42.4.
Find the probability that a randomly selected canister contains exactly 450.5450.5450.5 ml of coolant.
Find the probability that a randomly selected canister contains more than 448.0448.0448.0 ml.
The mass, MMM grams, of the active chemical concentrate in a batch is modeled by a normal distribution with mean μ\muμ and standard deviation σ\sigmaσ.
Given that P(M<215.5)=0.85P(M < 215.5) = 0.85P(M<215.5)=0.85, show that
215.5−μ=1.036σ 215.5 - \mu = 1.036\sigma 215.5−μ=1.036σwhere the constant is given to three decimal places. Fully justify your answer.
Given further that P(M<202.0)=0.08P(M < 202.0) = 0.08P(M<202.0)=0.08, find the values of μ\muμ and σ\sigmaσ.