$\"\"$

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A researcher wants to test a claim that the average home sale price in U.S is less than $\"\"$ .

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The claim can be written as $\"\"$ , which is alternate hypothesis.

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$\"\"$ is null hypothesis.

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The standard deviation is $\"\"$ .

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Number of homes is $\"\"$ .

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$\"\"$ and $\"\"$ .

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$\"\"$

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The value of $\"\"$ is $\"\"$ , since $\"\"$ , the $\"\"$ -statistic is used.

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$\"\"$ - Score formula is $\"\"$ .

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where $\"image\"$ is scale price of the sample, $\"image\"$ is the mean and $\"\"$ is the standard deviation.

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To calculate the value of $\"\"$ , first calculate the value of $\"\"$ .

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$\"\"$

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Now find the value of $\"\"$ .

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$\"\"$

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$\"\"$

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This is a left tailed test, since $\"\"$ .

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From the Table $\"\"$ : Areas under the standard normal curve ,the area associated with $\"\"$ is about $\"\"$ .

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The $\"\"$ -value $\"\"$ is less than $\"\"$ .

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Therefore the null hypothesis is rejected and there is significant evidence that the average

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home price is less than $\"\"$ . $\"\"$

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Therefore the null hypothesis is rejected and there is significant evidence that the average

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home price is less than $\"\"$ .