A state housing department is trying to determine if housing prices in county B are lower than in county A. The department decides to randomly sample recently sold houses in both counties and determine what proportion sold for more than $250,000. Since county A is considerably larger than county B, the housing department chose a larger sample from county A. The results of the data collected are shown below. Country A Successes Observations Proportion Confidence level Z-score p-value Country B 366 Successes 700 Observations 0.523 Proportion 90% -1.372 0.085 192 400 0.480 p = Ex: 1.234 County A samples: nA = Ex: 9 County B samples: nB = Sample proportion for county A samples: PA Sample proportion for county B samples: B -3 -2 z = Ex: 1.234 Ex: 1.234 -1 0 1 2 3

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A state housing department is trying to determine if housing prices in county B are lower than in county A. The
department decides to randomly sample recently sold houses in both counties and determine what proportion
sold for more than $250,000. Since county A is considerably larger than county B, the housing department chose
a larger sample from county A. The results of the data collected are shown below.
Country A
Successes
Observations
Proportion
Confidence level
Z-score
p-value
366 Successes
700 Observations
0.523 Proportion
90%
-1.372
0.085
County A samples: n
Country B
County B samples: nB
= Ex: 9
=
192
400
0.480
Sample proportion for county A samples: A
1
= Ex: 1.234
p=
Sample proportion for county B samples: B
=
-3
-2
2=Ex: 1.234
= Ex: 1.234
-1
0
1
2
2
3
Transcribed Image Text:Start A state housing department is trying to determine if housing prices in county B are lower than in county A. The department decides to randomly sample recently sold houses in both counties and determine what proportion sold for more than $250,000. Since county A is considerably larger than county B, the housing department chose a larger sample from county A. The results of the data collected are shown below. Country A Successes Observations Proportion Confidence level Z-score p-value 366 Successes 700 Observations 0.523 Proportion 90% -1.372 0.085 County A samples: n Country B County B samples: nB = Ex: 9 = 192 400 0.480 Sample proportion for county A samples: A 1 = Ex: 1.234 p= Sample proportion for county B samples: B = -3 -2 2=Ex: 1.234 = Ex: 1.234 -1 0 1 2 2 3
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