1)A particular fruit's weights are normally distributed, with a mean of 543 grams and a standard deviation of 27 grams. If you pick 12 fruit at random,
what is the probability that their mean weight will be between 531 grams and 537 grams?
2)
A company produces steel rods. The lengths of the steel rods are normally distributed with a mean of 157.7-cm and a standard deviation of 1.9-cm. For shipment, 22 steel rods are bundled together.
Find P63, which is the average length separating the smallest 63% bundles from the largest 37% bundles.
P63 = cm Round to 2 decimal places.
1. solution:-
given that mean = 543 , standard deviation = 27 , n = 12
=> P(531 < x < 537)
=> P((531-543)/(27/sqrt(12)) < z < (537-543)/(27/sqrt(12)))
=> P(-1.54 < z < -0.77)
=> P(z < -0.77) - P(z < -1.54)
=> (1-0.7794) - (1-0.9382)
=> 0.2206 - 0.0618
=> 0.1588
2. solution:-
given that mean = 157.7 , standard deviation = 1.9 , n = 22
the z value that corresponds to the probability of 0.63 from standard normal table is
z = 0.332
formula
=> z = (x-mean)/(sd/sqrt(n))
=> x = z*(sd/sqrt(n)) + mean
=> x = 0.332*(1.9/sqrt(22))+157.7
=> x = 157.83
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