The capacitance of capacitors produced by a machine is approximately normally distributed with a mean of ? = 1000 μF and a standard deviation of 80 μF. A sample of 16 capacitors is taken and the average of the capacitances values is computed. Based from the manufacturer’s standards, the machine is working properly if the computed average capacitance falls within 950 μF and 1050 μF. Otherwise, we conclude that ? ≠ 1000 μF. A. Determine the probability of committing a type I error when ? = 1000 μF. B. Determine the probability of committing a type II error when ? = 1080 μF. Hint: Use the sampling distribution of the mean when computing the probabilities.
The capacitance of capacitors produced by a machine is approximately normally distributed with a mean of ? = 1000 μF and a standard deviation of 80 μF. A sample of 16 capacitors is taken and the average of the capacitances values is computed. Based from the manufacturer’s standards, the machine is working properly if the computed average capacitance falls within 950 μF and 1050 μF. Otherwise, we conclude that ? ≠ 1000 μF. A. Determine the probability of committing a type I error when ? = 1000 μF. B. Determine the probability of committing a type II error when ? = 1080 μF. Hint: Use the sampling distribution of the mean when computing the probabilities.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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The capacitance of capacitors produced by a machine is approximately
1000 μF and a standard deviation of 80 μF. A sample of 16 capacitors is taken and the average of the capacitances
values is computed. Based from the manufacturer’s standards, the machine is working properly if the computed
average capacitance falls within 950 μF and 1050 μF. Otherwise, we conclude that ? ≠ 1000 μF.
A. Determine the
B. Determine the probability of committing a type II error when ? = 1080 μF.
Hint: Use the sampling distribution of the mean when computing the probabilities.
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