A sample of 510 homes for sale in ABC City showed a man asking price of $258,000, but the city claimed that the mean asking price for the population was $249,000. The population standard deviation of all homes for sale was $9000. Use the p-value approach to conduct a full hypothesis test that can be used to determine whether the mean asking price is significantly greater than $249'ppp. Let a=.05

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A sample of 510 homes for sale in ABC City showed a man asking price of $258,000, but the city claimed that the mean asking price for the population was $249,000. The population standard deviation of all homes for sale was $9000. Use the p-value approach to conduct a full hypothesis test that can be used to determine whether the mean asking price is significantly greater than $249'ppp. Let a=.05

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Step 1

Given Information : 

A sample of 510 homes for sale in ABC City showed a man asking price of $258,000, but the city claimed that the mean asking price for the population was $249,000. The population standard deviation of all homes for sale was $9000.  

The provided sample mean is \bar X = 249,000 and the known population standard deviation is , and the sample size is n = 510

Null and Alternative Hypotheses

The following null and alternative hypotheses need to be tested:

Ho: Mean asking price is equal to $249,000 . 

Ha:  Mean asking price is greater than $249'ppp

This corresponds to a left-tailed test, for which a z-test for one mean, with known population standard deviation will be used. 

Step 2

Rejection Region

Based on the information provided, the significance level is \alpha = 0.05, and the critical value for a left-tailed test is z_c = -1.64.

The rejection region for this left-tailed test is R = \{z: z < -1.64\}

Test Statistics

The z-statistic is computed as follows: 

Statistics homework question answer, step 2, image 1 

Test Statistic = -0.023

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