Suppose that the height of Asian males aged 35-44 in the United States is normally distributed with a standard deviation of 3 in. Jeremy takes a simple random sample of 16 such men and notices that none of them are unusually tall or unusually short. He then calculates the average of the sample to be 67 in. and is planning on using this to find a 90% z-confidence interval for the true mean height. Can Jeremy use this information to find the z-confidence interval? Complete the following sentences. The population distribution is and the population standard deviation is Therefore, the sample to find a 90% z-confidence interval.

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Suppose that the height of Asian males aged 35-44 in the United States is normally distributed with a standard deviation of 3
in. Jeremy takes a simple random sample of 16 such men and notices that none of them are unusually tall or unusually short.
He then calculates the average of the sample to be 67 in. and is planning on using this to find a 90% z-confidence interval for
the true mean height.
Can Jeremy use this information to find the z-confidence interval? Complete the following sentences.
The population distribution is
and the population standard deviation is
Therefore,
the sample
to find a 90% z-confidence interval.
Transcribed Image Text:Suppose that the height of Asian males aged 35-44 in the United States is normally distributed with a standard deviation of 3 in. Jeremy takes a simple random sample of 16 such men and notices that none of them are unusually tall or unusually short. He then calculates the average of the sample to be 67 in. and is planning on using this to find a 90% z-confidence interval for the true mean height. Can Jeremy use this information to find the z-confidence interval? Complete the following sentences. The population distribution is and the population standard deviation is Therefore, the sample to find a 90% z-confidence interval.
Expert Solution
Step 1

Answer:- Given, The population is normally distributed with a standard deviation, σ = 3 . 

And the random sample size, n = 16 

 

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