Final answer:
To construct a 90% confidence interval for the true difference between two mean values, we use the formula CI = (X1 - X2) ± Z * sqrt((s1^2 / n1) + (s2^2 / n2)). Plugging in the given values, we calculate a confidence interval of approximately -$2,619 to -$25,181.
Step-by-step explanation:
To construct a 90% confidence interval for the true difference between the mean home prices in the two areas, we can use the formula:
CI = (X1 - X2) ± Z * sqrt((s1^2 / n1) + (s2^2 / n2))
Where:
- X1 and X2 are the sample means
- Z is the Z-score corresponding to the desired confidence level (in this case, 90%)
- s1 and s2 are the standard deviations
- n1 and n2 are the sample sizes
Plugging in the given values:
- X1 = $183,100
- X2 = $197,000
- s1 = $21,505
- s2 = $25,275
- n1 = 35
- n2 = 34
- Z = 1.645 (obtained from the standard normal distribution table)
Calculating the confidence interval:
CI = ($183,100 - $197,000) ± 1.645 * sqrt((($21,505)^2 / 35) + (($25,275)^2 / 34))
CI = -$13,900 ± $11,719
Rounding the endpoints to the nearest whole number, the 90% confidence interval for the true difference between the mean home prices in the two areas is approximately -$2,619 to -$25,181.