Buckley Farms produces homemade potato chips that it sells in bags labeled 16 ounces. The total weight of each bag follows an approximately normal distribution with a mean of 16.15 ounces and a standard deviation of 0.12 ounces. a)If you randomly selected 1 bag of these chips what is the probability that the total weight is less than 16 ounces? (I know this one. I got 11%. I need help with the other two. I have no clue how to continue on...) b) Buckley Farms ships its chips in boxes that contain 6 bags. The empty boxes have a mean weight of 10 ounces and a standard deviation of 0.05 ounces. Calculate the mean and standard deviation of the total weight of a box containing 6 bags of chips. c) Buckley Farms decides to increase the mean weight of each bag of chips so that only 5% of the bags have weights that are less than 16 ounces. Assuming that the standard deviation remains 0.12 ounces what mean weight should Buckley Farms use?
We transform the mean to
X = X1 + X2
E(X) = E(X1 + X2)
Assuming the bags are chosen randomly
X = E(X1) + E(X2)
X = 16 + 10
X = 26 ounces
SD = 0.12 (26/16) = 0.20
Using the normal probability distribution principle given the mean and standard deviation of Buckley's farm ; the solutions to the exercise are :
Given the Parameters :
Recall :
Zscore = \(\frac{16 - 16.15}{0.12} = -1.25\)
P(Z < - 1.25) = 0.1056 = 10.6% (normal distribution table)
2.)
Empty box :
Mean weight of 6 bags :
10 + (6 × 16.15)
10 + 96.90 = 106.90 ounces
Standard deviation of 6 bags :
√(0.05² + 0.12² + 0.12² + 0.12² + 0.12² + 0.12² + 0.12²) = 0.298 ounces
3.)
Using the normal distribution table ;
Zscore for 5% = 0.05 = - 1.645
Using the Zscore formula :
\(-1.645 = \frac{x - 16.15}{0.12}\)
Cross multiply :
x - 16.15 = -1.645 × 0.12
x = - 19.74 + 16.15
x = 15.95
Therefore, the mean weight that should be used is 15.95 ounces
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