Home values tend to increase over time under normal conditions, but the recession of 2008 and 2009 has reportedly caused the sales price of existing homes to fall nationwide.† You would like to see if the data support this conclusion. The file HomePrices contains data on 30 existing home sales in 2006 and 40 existing home sales in 2009.
213,100 | 226,200 | 239,100 |
214,300 | 161,700 | 181,200 |
228,600 | 222,100 | 228,900 |
235,800 | 219,400 | 238,800 |
301,800 | 264,200 | 320,200 |
315,000 | 118,900 | 172,400 |
137,500 | 212,800 | 175,400 |
311,400 | 296,900 | 292,500 |
287,700 | 246,500 | 195,600 |
155,300 | 152,400 | 211,200 |
2009 ($)
155,400 189,800 200,800 280,400 213,200 181,100 117,400 130,000 170,000 149,600 146,200 54,400 213,800 186,000 182,100 180,000 215,700 164,200 95,300 239,500 207,200 188,200 169,400 185,600 177,000 178,000 161,200 249,200 146,400 99,800 246,700 173,500 138,100 112,200 137,500 147,900 179,000 116,200 197,500 164,200(a) Provide a point estimate of the difference (in dollars) between the population mean prices for the two years. (Use year 2006 − year 2009. Round your answer to the nearest dollar.)
$ ?
(b) Develop a 99% confidence interval estimate of the difference (in dollars) between the resale prices of houses in 2006 and 2009. (Use year 2006 − year 2009. Round your answers to the nearest dollar.)
$ to $
Find the value of the test statistic. (Round your answer to three decimal places.)
Find the p-value. (Round your answer to four decimal places.)
p-value =
Two-Sample T-Test and CI: 2006, 2009
Method
μ₁: mean of 2006 |
µ₂: mean of 2009 |
Difference: μ₁ - µ₂ |
Equal variances are not assumed for this analysis.
Descriptive Statistics
Sample | N | Mean | StDev | SE Mean |
2006 | 30 | 225923 | 55252 | 10088 |
2009 | 40 | 170993 | 44958 | 7109 |
Estimation for Difference
Difference | 99% CI for Difference |
54931 | (21982, 87880) |
Test
Null hypothesis | H₀: μ₁ - µ₂ = 0 |
Alternative hypothesis | H₁: μ₁ - µ₂ ≠ 0 |
T-Value | DF | P-Value |
4.45 | 54 | 0.0000 |
a) 54931
b) (21982, 87880)
c) 0.0000
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