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?
mean,
"x_A=4000, x_B=4500\\\\\n\nn_A=100,n_B=50\\\\\n\n \\sigma_A=300 , \\sigma_B=200"
Here mean of "A-B =x_A-x_B=4000-4500 =-500"
and standard deviation of difference "\\sigma_{A-B}=\\sqrt{(\\dfrac{300^2}{100} +\\dfrac{200^2}{50})} =41.23"
a) Probability that B will be at least 600lb more then A
"= P(A-B<-600)=P(Z<\\dfrac{(-600-(-500)}{41.23})=P(Z<-2.4254)=0.0076"
b) Probability that B will be at least 450lb more than
"P(A-B<-450)=P(Z<\\dfrac{(-450-(-500)}{41.23})+P(Z<1.2127)=0.8874"
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