An appraiser computes median sale prices for the same neighborhood quarter by quarter and reads the trend. What is the main hazard of this method?
Correct Answer
D) The mix of what sold may shift between quarters
Why this is correct: The median price can be distorted by a change in the composition (mix) of properties sold. If one quarter's sales include larger or higher-quality homes than another's, the median will shift even if individual property values are stable. Why the other choices are wrong: "Median prices are confidential data" is false; sale prices are typically public record. "Quarterly grouping violates reporting standards" is false; time period adjustment is a standard technique. "The method always understates appreciation" is an absolute claim not supported by appraisal principles. Exam tip: When analyzing price trends, always ask: 'Has the mix of properties sold changed?' Use paired sales or repeat sales analysis to control for quality differences.
Why This Is the Correct Answer
Option D is correct because a shift in the mix of properties sold can move the median independently of any change in value. The statistic summarizes a changing sample rather than tracking a constant basket of goods, which is the fundamental limitation of median-based trend analysis. Stratifying the data, using price per square foot, or analyzing repeat sales reduces the problem substantially. Cross-checking the indicated trend against matched pairs is the practical safeguard before applying a market conditions adjustment.
Why the Other Options Are Wrong
Option A: Median prices are confidential data
Aggregate market statistics are not confidential information; confidentiality attaches to assignment results and to information the client designates as confidential. Median price data is routinely published by multiple listing services, trade associations, and data vendors. The option confuses a data quality issue with an ethics concept.
Option B: Quarterly grouping violates reporting standards
Quarterly grouping is a perfectly ordinary analytical choice and no standard prescribes a particular period. Appraisers use monthly, quarterly, semiannual, or annual groupings depending on transaction volume, and combining periods is a recognized response to thin data. Nothing about the interval violates reporting requirements.
Option C: The method always understates appreciation
Mix shifts can push a median in either direction, so there is no systematic bias toward understatement. A quarter dominated by large new construction overstates the trend, while one dominated by small older homes understates it. The hazard is unpredictable distortion rather than a consistent lean.
The basket changed, not the prices
A median tells you about the middle house that sold, and a different set of houses sells every quarter. When the median jumps, ask first whether the market moved or the sample did.
How to use: On trend questions, look for the answer naming composition or mix. Then remember the fixes: stratify, use price per square foot, or analyze repeat sales.
Exam Tip
Median price per square foot neutralizes size-driven mix effects but not quality or location effects. Stratification remains necessary for those.
Common Mistakes to Avoid
- -Reading a mix shift as appreciation
- -Applying a time adjustment from unstratified median data
- -Including new construction with resales in the same trend series
- -Relying on a single statistical method without cross-checking
Concept Deep Dive
Analysis
This tests the central weakness of period-over-period summary statistics as a measure of market movement. A quarterly median describes the middle of whatever transacted that quarter, so it moves for two distinct reasons: prices changed, or the composition of what sold changed. If a quarter happens to include several large new homes, or if entry-level activity dries up because of financing conditions, the median rises without any individual property becoming more valuable. Appraisers who read that shift as appreciation will build an unsupported time adjustment into every grid. The standard defenses are to stratify the data by property type, size, and price tier, to switch to median price per square foot so that size effects wash out, to use repeat sales or resales of the same properties, and to verify adequate sale counts per period. None of these eliminates mix effects entirely, so the appraiser should cross-check any trend against a second method before relying on it.
Background Knowledge
You need to understand how median and mean summaries respond to sample composition, and the recognized methods for deriving market conditions adjustments, including matched pairs over time, repeat sales, and trend analysis of stratified data. You should also know that appraisers must support time adjustments with evidence and remain responsible for the reliability of any statistic they rely on.
Real-World Application
A neighborhood's quarterly median jumps eleven percent, which would imply strong appreciation. Checking the underlying sales, you find a new builder phase closed that quarter with much larger homes. Switching to median price per square foot and excluding new construction reduces the indicated trend to about three percent, which two resales of the same properties confirm.
More Market Questions
Building permit data is most useful to an appraiser as:
In the neighborhood life cycle, what characterizes the decline stage?
In which phase of the real estate cycle do rising vacancies first meet a still-growing construction pipeline?
The principle of consistent use prohibits:
Employment in a one-industry town falls 20%. Through what mechanism does housing demand contract?
Frictional vacancy in a rental market refers to:
The principle of opportunity cost applied to real estate means:
A neighborhood with a wide range of property values requires the appraiser to:
In-migration to a metro area increases housing demand primarily by:
Absorption rate expressed in units per month is calculated by:
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