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reconciliationhard

Why should the reconciliation address the quantity of evidence as well as its quality?

Correct Answer

D) One excellent sale may still be a single observation

Why this is correct: Both the quality (similarity) and quantity (number) of comparable sales are critical in reconciliation. A single, highly similar sale provides strong evidence for a specific transaction price but is a weak indicator of the overall market range or pattern, as it represents just one data point. Why the other choices are wrong: The choice stating USPAP requires a count of data points be reported is incorrect; USPAP requires disclosure of sufficient information but not a specific count. The choice that more data always produces a more accurate result is wrong; many poor-quality comparables can be misleading. The choice that a single verified sale is stronger than several is false; one sale lacks the statistical reliability of a sample. Exam tip: One perfect comparable is great for precision; many rough comparables are better for establishing a market range.

Answer Options
A
USPAP requires a count of data points be reported
B
More data always produces a more accurate result
C
A single verified sale is stronger than several
D
One excellent sale may still be a single observation

Why This Is the Correct Answer

Why this is correct: Both the quality (similarity) and quantity (number) of comparable sales are critical in reconciliation. A single, highly similar sale provides strong evidence for a specific transaction price but is a weak indicator of the overall market range or pattern, as it represents just one data point. Why the other choices are wrong: The choice stating USPAP requires a count of data points be reported is incorrect; USPAP requires disclosure of sufficient information but not a specific count. The choice that more data always produces a more accurate result is wrong; many poor-quality comparables can be misleading. The choice that a single verified sale is stronger than several is false; one sale lacks the statistical reliability of a sample. Exam tip: One perfect comparable is great for precision; many rough comparables are better for establishing a market range.

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