A quality control specialist at a plate glass factory must estimate the mean clarity rating of a new batch of glass sheets being produced using a sample of 18 sheets of glass. The actual distribution of this batch is unknown, but preliminary investigations show that a normal approximation is reasonable. The specialist decides to use at distribution rather than a standard normal distribution because а. The sample size is large b. The data comes from only one batch. С. The population size is large. O d. The t-distribution results in a narrower confidence interval. O e. The variability of the batch is unknown.

MATLAB: An Introduction with Applications
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A quality control specialist at a plate glass factory must estimate the mean clarity rating of a new batch of
glass sheets being produced using a sample of 18 sheets of glass. The actual distribution of this batch is
unknown, but preliminary investigations show that a normal approximation is reasonable. The specialist
decides to use at distribution rather than a standard normal distribution because
O a.
The sample size is large
O b. The data comes from only one batch.
Ос.
The population size is large.
O d. The t-distribution results in a narrower confidence interval.
O e.
The variability of the batch is unknown.
Transcribed Image Text:A quality control specialist at a plate glass factory must estimate the mean clarity rating of a new batch of glass sheets being produced using a sample of 18 sheets of glass. The actual distribution of this batch is unknown, but preliminary investigations show that a normal approximation is reasonable. The specialist decides to use at distribution rather than a standard normal distribution because O a. The sample size is large O b. The data comes from only one batch. Ос. The population size is large. O d. The t-distribution results in a narrower confidence interval. O e. The variability of the batch is unknown.
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