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Suppose that documentation lists the average sales price of a single-family home in the metropolitan Dallas/Ft. Worth/Irving, Texas, area as $213,200. The average home price in Orlando, Florida, is listed as $198,000. The mean of a random sample of 43 homes in the Texas metroplex was $217,800 with a population standard deviation of $30,300. In the Orlando, Florida, area a sample of 35 homes had a mean price of $204,700 with a population standard deviation of $33,800. At the 0.05 level of significance, can it be concluded that the mean price in Dallas exceeds the mean price in Orlando

User Dcgoss
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1 Answer

3 votes

Answer:

"0.0373" seems to be the appropriate solution.

Explanation:

The given values are:

n₁ = 43

n₂ = 35


\bar{x_1}=217800


\bar{x_2}=204700


\sigma_1=30300


\sigma_2=33800

Now,

The test statistic will be:


Z=\frac{\bar{x_1}-\bar{x_2}}\sqrt{(\sigma_1^2)/(n_1) +(\sigma_2^2)/(n_2) }

On substituting the given values in the above formula, we get


=\frac{217800-204400}{\sqrt{((30300)^2)/(43) +((33800)^2)/(35) } }


=\frac{217800-204400}{\sqrt{(918090000)/(43) +(1142440000)/(35) } }


=(13400)/(7347.93)


=1.7828

then,

P-value will be:

=
P(Z>1.7828)

=
0.0373

User Alireza Mahmoudi
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