(a) |
State the null hypothesis
and the alternative hypothesis
. |
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(b) |
Determine the type of test statistic to use. |
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▼(Choose one) |
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(c) |
Find the value of the test statistic. (Round to three or more decimal places.) |
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(d) |
Find thep-value. (Round to three or more decimal places.) |
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(e) |
Can we conclude that the mean appreciation rate of houses in Sun Beach,
, is higher than
, the mean appreciation rate of houses in North Arden? |
|
Extracted text: According to a high-profile realtor, houses in the sleepy town of Sun Beach have shown higher appreciation over the past three years than have houses in the bustling town of North Arden. To test the realtor's claim, an economist has found thirteen recently sold homes in Sun Beach and thirteen recently sold homes in North Arden that were owned for exactly three years. The following table gives the appreciation (expressed as a percentage increase) for each of the twenty-six houses. Appreciation rates in percent Sun Beach 11.8,7.0, 13.1, 12.1,9.3, 10.0, 13.1,9.4, 10.5, 11.8, 11.4, 9.5, 11.6 North Arden 9.0, 7.2, 9.2, 9.9, 8.4, 9.6, 9.2, 11.4, 10.6, 8.6, 10.5, 9.8, 10.0 Send data to calculator Send data to Excel Assume that the two populations of appreciation rates are normally distributed and that the population variances are equal. Can we conclude, at the 0.10 level of significance, that the mean appreciation rate of houses in Sun Beach, u,, is higher than l,, the mean appreciation rate of houses in North Arden? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places and round your answers as specified in the table. (If necessary, consult a list of formulas.)