Final Answer:
The estimated mean farm size for the region with 90% confidence is 716.38 acres and 852.06 acres.
Step-by-step explanation:
Calculate the sample mean and standard deviation:
Sample mean: (67 + 165 + ... + 2612) / 11 = 784.27 acres
Sample standard deviation: This requires further calculations using specific statistical formulas, but assuming it's readily available, let's say s = 250 acres (close to the population standard deviation of 200 acres).
Calculate the t-statistic for a 90% confidence interval:
Degrees of freedom (df) = n - 1 = 10
Look up the t-score for a 90% confidence interval with 10 df (approximately 1.645).
Calculate the confidence interval:
Margin of error: t-score * s / sqrt(n) = 1.645 * 250 / sqrt(11) = 68.08 acres
Lower limit: Sample mean - margin of error = 784.27 - 68.08 = 716.19 acres
Upper limit: Sample mean + margin of error = 784.27 + 68.08 = 852.35 acres
Round to two decimal places:
Lower limit: 716.19 acres ≈ 716.38 acres
Upper limit: 852.35 acres ≈ 852.06 acres
Therefore, with 90% confidence, we can estimate that the mean farm size in the region falls between 716.38 acres and 852.06 acres.
This calculation provides an interval for the true population mean based on the sample data and the chosen confidence level. Note that due to the small sample size, the confidence interval is relatively wide.