If the mean is 7171 grams, the standard deviation is 18 grams and 12 fruits are selected at random. Then, the mean weight will be 734.901 grams greater.
Let X be the random variable of the fruit's weight.
We have, the mean and standard deviation as 717 grams and 18 grams respectively.
We want to find the specific gram value for which 16% of the fruits are heavier, i.e. the 84th percentile of X's normal distribution
Now, Solving for x:
P( X < x ) = Normal( 717, 18 ), Z = 0.84
So,
P( [X - 717] / 18 < [x - 717] / 18 ) = P( Z < [x - 717]/18 ) = 0.84, where Z is a standard normal random variable
Now,
Standard Normal CDF( [x - 717]/18 ) = 0.84
Then, from the standard normal table: [x - 717]/18 = Inverse Standard Normal CDF( 0.84 ) = 0.9945
Therefore,
[ x - 717 ] / 18 = 0.9945
Multiplying 18 on each side of the equation,
x - 717 = 0.9945 × 18
x - 717 = 17.901
Adding 717 on each side of the equation,
x - 717 + 717 = 17.901 + 717
x = 734.901
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