Suppose the general manager for a company that produces a complicated electronics component used in the navigation systems in automobiles has stated that 70% of the items made pass through the final inspection without needing any rework. The quality manager wished to verify this statement. To do so, she selected a random sample of n = 210 parts at the final inspection station and found that 134 passed and did not require rework. a. State the appropriate null and alternative hypotheses for testing the general manager's claim. b. Using a = 0.1o, from the sample data, what conclusion should the quality manager reach about the general manager's claim? Discuss. a. Identify the null and alternative hypotheses for this test. Let p be the population proportion of items made that pass through the final inspection without needing any rework. O A. Ho: p20.7 HA:p<0.7 в. Но: рж0.7 HA:p#0.7 O C. Ho: p#0.7 HA:p=0.7 D. Hg: ps0.7 HA: p>0.7 b. Perform the test using a normal approximation. Identify the test statistic. (Round to two decimal places as needed.)

MATLAB: An Introduction with Applications
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Suppose the general manager for a company that produces a complicated electronics component used in the navigation systems in automobiles has stated that 70% of the items made pass through the final inspection without needing any
rework. The quality manager wished to verify this statement. To do so, she selected a random sample of n = 210 parts at the final inspection station and found that 134 passed and did not require rework.
a. State the appropriate null and alternative hypotheses for testing the general manager's claim.
b. Using a = 0.10, from the sample data, what conclusion should the quality manager reach about the general manager's claim? Discuss.
a. Identify the null and alternative hypotheses for this test. Let p be the population proportion of items made that pass through the final inspection without needing any rework.
Ο . H0 p2 0.7.
HA:p<0.7
В. Но р30.7
HA:p+0.7
O C. Ho: p+0.7
HA:p=0.7
D. Ho:ps0.7
HA:p>0.7
b. Perform the test using a normal approximation. Identify the test statistic.
(Round to two decimal places as needed.)
Transcribed Image Text:Suppose the general manager for a company that produces a complicated electronics component used in the navigation systems in automobiles has stated that 70% of the items made pass through the final inspection without needing any rework. The quality manager wished to verify this statement. To do so, she selected a random sample of n = 210 parts at the final inspection station and found that 134 passed and did not require rework. a. State the appropriate null and alternative hypotheses for testing the general manager's claim. b. Using a = 0.10, from the sample data, what conclusion should the quality manager reach about the general manager's claim? Discuss. a. Identify the null and alternative hypotheses for this test. Let p be the population proportion of items made that pass through the final inspection without needing any rework. Ο . H0 p2 0.7. HA:p<0.7 В. Но р30.7 HA:p+0.7 O C. Ho: p+0.7 HA:p=0.7 D. Ho:ps0.7 HA:p>0.7 b. Perform the test using a normal approximation. Identify the test statistic. (Round to two decimal places as needed.)
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