EstatePass
appraisal-statistical-methodshard

Why is a geometric mean rather than an arithmetic mean used to summarize annual rates of price change?

Correct Answer

A) It reflects the compounding between periods

Why this is correct: The geometric mean is used for rates of change because it accounts for the compounding effect over multiple periods. If you have annual growth rates, the geometric mean correctly calculates the single rate that, if applied each year, would produce the same total growth as the actual varying rates. Why the other choices are wrong: The geometric mean is not always larger; it is typically smaller than or equal to the arithmetic mean when rates vary. It does not specifically remove outliers; other measures do that. It does not require fewer observations to compute. Exam tip: Use the geometric mean for multiplicative data like growth rates. Use the arithmetic mean for additive data.

Answer Options
A
It reflects the compounding between periods
B
It is always the larger of the two figures
C
It removes the influence of any outliers
D
It requires fewer observations to compute

Why This Is the Correct Answer

Why this is correct: The geometric mean is used for rates of change because it accounts for the compounding effect over multiple periods. If you have annual growth rates, the geometric mean correctly calculates the single rate that, if applied each year, would produce the same total growth as the actual varying rates. Why the other choices are wrong: The geometric mean is not always larger; it is typically smaller than or equal to the arithmetic mean when rates vary. It does not specifically remove outliers; other measures do that. It does not require fewer observations to compute. Exam tip: Use the geometric mean for multiplicative data like growth rates. Use the arithmetic mean for additive data.

Was this explanation helpful?

More appraisal-statistical-methods Questions

A price index rises from 100 to 121 over two years. What compound annual rate does this represent?

A sample of four sales drawn from a market with 200 annual transactions is:

A set of comparable sales has a mean of $250,000 and a standard deviation of $20,000. What is the coefficient of variation?

A property sold for $400,000 and resold three years later for $463,050 with no physical change. What compound annual rate does this indicate?

An appraiser includes both 'total room count' and 'bedroom count' as independent variables in a regression model estimating single-family home sale prices. The variance inflation factor (VIF) for 'bedroom count' is calculated as 12.3. What is the most appropriate appraisal action based on this result?

An appraiser runs a regression of sale price on GLA, age, and a binary variable for 'renovated' (1 = yes, 0 = no). The estimated coefficient for 'renovated' is $18,400 with a standard error of $6,200 and a t-statistic of 2.97. Assuming a two-tailed test at Ξ± = 0.05 and 42 degrees of freedom, what conclusion is supported regarding the market's recognition of renovations?

To validate the functional form of a regression model used for adjustments, an appraiser plots residuals against predicted values and observes a clear inverted-U pattern. What does this pattern indicate, and what is the most defensible corrective action?

A histogram of neighborhood sale prices shows two distinct peaks. What does this most likely mean?

What does it mean to validate a regression model?

An appraiser includes months elapsed since each sale as a variable in a price model. What is this intended to capture?

People Also Study

Practice More Appraiser Questions

Access all practice questions with progress tracking and adaptive difficulty to pass your Appraiser exam.

Start Practicing