A and B manufacture two types of cables, having mean breaking strengths
of 4000 and 4500 lb and standard deviations of 300 and 200 lb,
respectively. If 100 cables of brand A and 50 cables of brand B are tested,
what is the probability that the mean breaking strength of B will be (a) at
least 600 lb more than A, (b) at least 450 lb more than A?
We have given that,
"x_A = 4000,x_B = 4500"
"n_A = 100, n_B = 50"
"\\sigma_A = 300, \\sigma_B = 200"
Mean of "A -B = x_A-x_B = 4000-4500 = -500"
Also, standard deviation of the difference
"\\sigma_{A-B} = \\sqrt{(\\dfrac{300^2}{100}+\\dfrac{200^2}{50})} = 41.23"
a.) The probability that the mean breaking strength of B will be at least 600 lb more than A
"= P(A-B<-600)"
"= P(Z<\\dfrac{-600+500}{41.23})=P(Z<-2.4254) = 0.0076"
b.) The probability that the mean breaking strength of B at least 450 lb more than A.
"P(A-B<-450) = P(Z<\\dfrac{-450+500}{41.23})=P(Z<1.2127) = 0.8874"
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