1. Lazarus Steel Corporation produces iron rods that are supposed to be 36 inches long. The machine that makes these rods does not produce each rod exactly 36 inches long. The lengths of the rods are normally distributed, and they vary slightly. It is known that when the machine is working properly, the mean length of the rods is 36 inches. The standard deviation of the lengths of all rods produce on this machine is always equal to .035 inch. The quality control department at the company takes a sample of 20 such rods every week, calculates the mean length of these rods, and tests the null hypothesis, μ = 36 inches, against the alternative hypothesis μ # 36 inches. If the null hypothesis is rejected, the machine is stopped and adjusted. A recent sample of 20 rods produced a mean length of 36.015 inches. Calculate the P-value for this test of hypothesis. Based on this P-value, will the quality control inspector decide to stop the machine and adjust it if he chooses the significance level to be .02? What if the significance level is.10?

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1. Lazarus Steel Corporation produces iron rods that are supposed to be
36 inches long. The machine that makes these rods does not produce each rod
exactly 36 inches long. The lengths of the rods are normally distributed, and they
vary slightly. It is known that when the machine is working properly, the mean
length of the rods is 36 inches. The standard deviation of the lengths of all rods
produce on this machine is always equal to .035 inch. The quality control
department at the company takes a sample of 20 such rods every week,
calculates the mean length of these rods, and tests the null hypothesis, μ = 36
inches, against the alternative hypothesis μ 36 inches. If the null hypothesis is
rejected, the machine is stopped and adjusted. A recent sample of 20 rods
produced a mean length of 36.015 inches.
Calculate the P-value for this test of hypothesis. Based on this P-value, will the
quality control inspector decide to stop the machine and adjust it if he chooses
the significance level to be .02? What if the significance level is.10?
Transcribed Image Text:1. Lazarus Steel Corporation produces iron rods that are supposed to be 36 inches long. The machine that makes these rods does not produce each rod exactly 36 inches long. The lengths of the rods are normally distributed, and they vary slightly. It is known that when the machine is working properly, the mean length of the rods is 36 inches. The standard deviation of the lengths of all rods produce on this machine is always equal to .035 inch. The quality control department at the company takes a sample of 20 such rods every week, calculates the mean length of these rods, and tests the null hypothesis, μ = 36 inches, against the alternative hypothesis μ 36 inches. If the null hypothesis is rejected, the machine is stopped and adjusted. A recent sample of 20 rods produced a mean length of 36.015 inches. Calculate the P-value for this test of hypothesis. Based on this P-value, will the quality control inspector decide to stop the machine and adjust it if he chooses the significance level to be .02? What if the significance level is.10?
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