In: Statistics and Probability
The weight distribution of parcels sent in a certain manner is normal with mean value 12lb and standard deviation 3.5lb.
a. Find the probability that a randomly selected parcel weighs between 9lb and 17lb
b. Find the probability that a randomly selected parcel's weight is within 1.5 standard deviations of the mean value
c. Find the 33rd percentile of this weight distribution
Given = 12 lbs and = 3.5 lbs
To find the probability we need to find the z score. Z = (X - ) /
(a) P(9 < X < 17) = P(X < 17) - P(X < 9)
For P( X < 17)
Z = (17 – 12)/3.5 = 1.43
The probability for P(X < 17) from the normal distribution tables is = 0.9236
For P( X < 9)
Z = (9 – 12)/3.5 = -0.86
The probability for P(X < 9) from the normal distribution tables is = 0.1949
Therefore the required probability is 0.9236 – 0.1949 = 0.7287
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(b) Within 1.5 standard deviation of the mean value = 1.5 * 3.5 = 5.25
Therefore P(12 - 5.25 < X < 12 + 5.25) = P(6.75 < X < 17.25) = P(X < 17.25) - P(X < 6.75)
For P( X < 17.25)
Z = (17.25 – 12)/3.5 = 1.5
The probability for P(X < 17.5) from the normal distribution tables is = 0.9332
For P( X < 6.75)
Z = (6.75 – 12)/3.5 = -1.5
The probability for P(X < 6.75) from the normal distribution tables is = 0.0668
Therefore the required probability is 0.9332 – 0.0668 = 0.8664
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(c) The 33rd percentile means
P(X < x) = 0.33
The z value for p = 0.33 is -0.44
Therefore -0.44 = (X - 12) / 3.5.
Solving for X, we get X = (-0.44 * 3.5) + 12 = 11.69
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