A manufacturing company produces bearings. One line of bearings is specified to be 1.64 centimeters (cm) in diameter. A major customer requires that the variance of the bearings be no more than 0.001 cm2. The producer is required to test the bearings before they are shipped, and so the diameters of 16 bearings are measured with a precise instrument, resulting in the following values: 1.69 1.62 1.63 1.70 1.66 1.63 1.65 1.71 1.64 1.69 1.57 1.64 1.59 1.66 1.63 1.65 Assume bearing diameters are normally distributed. Use the data and α = 0.025 to test the data to determine whether the population of these bearings is to be rejected because of too high variance.
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A manufacturing company produces bearings. One line of bearings is specified to be 1.64 centimeters (cm) in
diameter. A major customer requires that the variance of the bearings be no more than 0.001 cm2. The producer is
required to test the bearings before they are shipped, and so the diameters of 16 bearings are measured with a
precise instrument, resulting in the following values:
1.69 1.62 1.63 1.70 1.66 1.63 1.65 1.71 1.64 1.69 1.57 1.64 1.59 1.66 1.63 1.65
Assume bearing diameters are normally distributed. Use the data and α = 0.025 to test the data to determine whether
the population of these bearings is to be rejected because of too high variance.
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