According to a recent census, 15.6% of all housing units in a certain country are vacant. A county supervisor wonders if

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answerhappygod
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According to a recent census, 15.6% of all housing units in a certain country are vacant. A county supervisor wonders if

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According To A Recent Census 15 6 Of All Housing Units In A Certain Country Are Vacant A County Supervisor Wonders If 1
According To A Recent Census 15 6 Of All Housing Units In A Certain Country Are Vacant A County Supervisor Wonders If 1 (22 KiB) Viewed 56 times
According To A Recent Census 15 6 Of All Housing Units In A Certain Country Are Vacant A County Supervisor Wonders If 2
According To A Recent Census 15 6 Of All Housing Units In A Certain Country Are Vacant A County Supervisor Wonders If 2 (16.65 KiB) Viewed 56 times
According to a recent census, 15.6% of all housing units in a certain country are vacant. A county supervisor wonders if her county is different from this. She randomly selects 886 housing units in her county and finds that 174 of the housing units are vacant. Complete parts a through d below. Check the appropriate conditions for a hypothesis test. Select the correct choice below and fill in the answer boxes within your choice. (Round to one decimal place as needed) OA. The 896 housing units were a random sample from the county of interest. 886 is likely less than 10% of all housing units in the county. One expects np. - successes and ng failures, which are both more than 10. OB. The 886 housing units were a random sample from the county of interest. The standard deviation of p is less than 0.5. One expects npe Successes and no = Gras which are both more than 20

Check the appropriate conditions for a hypothesis test. Select the correct choice below and fill in the answer boxes within your choice. (Round to one decimal place as needed.) A. The 886 housing units were a random sample from the county of interest. 886 is likely less than 10% of all housing units in the county, One expects mpo = successes and ngo -toilures, which are both more than 10. OB. The 886 housing units were a random sample from the county of interest. The standard deviation of p is less than 0.5. One expects po- successes and nqn = failures, which are both more than 20.
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