Five sale prices are $390,000, $410,000, $420,000, $430,000, $520,000. Remove the single smallest and single largest price, then calculate the mean of the remaining three. Report to the nearest dollar.
Correct Answer
D) $420,000
After ordering, retain $410,000, $420,000, $430,000. Their sum is $1,260,000; dividing by 3 gives $420,000. This is trimming, not replacing the extreme observations.
Why This Is the Correct Answer
Option D is correct because removing $390,000 and $520,000 leaves $410,000, $420,000 and $430,000. Their sum is $1,260,000, and $1,260,000 / 3 = $420,000. This is trimming, not replacing the extremes.
Why the Other Options Are Wrong
Option A: $434,000
Option A, $434,000, is the untrimmed mean of all five prices: $2,170,000 / 5 = $434,000. Trimming the extremes gives $1,260,000 / 3 = $420,000.
Option B: $1,260,000
Option B, $1,260,000, is the sum of the three remaining prices without dividing by 3. The trimmed mean is $1,260,000 / 3 = $420,000.
Option C: $412,500
Option C, $412,500, removes only the high $520,000 sale and averages the other four: $1,650,000 / 4 = $412,500. The stated rule also removes the smallest price, $390,000, so the trimmed mean is $1,260,000 / 3 = $420,000.
Trim the ends, average middle
Like trimming bread crusts, cut off the ends and average what remains.
How to use: Use this to separate trimmed means from untrimmed and Winsorized means.
Exam Tip
After trimming, divide by the number of values kept, not the original count.
Common Mistakes to Avoid
- -Averaging all values without trimming
- -Trimming only the high outlier and not the low end
- -Replacing extremes instead of removing them
Concept Deep Dive
Analysis
This question tests calculating a trimmed mean. After ordering, the single smallest and single largest prices are both removed and the remaining three are averaged. The distractors include the untrimmed mean, the unaveraged sum and a one-sided trim.
Background Knowledge
A trimmed mean removes a set number or share of the most extreme observations from each end before averaging. This reduces the influence of outliers such as the $520,000 sale. A Winsorized mean, by contrast, replaces the extremes with the nearest remaining values instead of removing them.
Real-World Application
An appraiser summarizing five sales notices one unusually high price. She reports a trimmed mean of $420,000 alongside the untrimmed mean to show how much the outlier affects the average.
More Statistics Questions
Sale prices are $270,000, $290,000, $300,000, $310,000, $330,000. Treat the listed observations as the complete population and divide by n when computing the standard deviation. Report to the nearest dollar.
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An appraiser estimates a market-wide price trend using only sales data from one brokerage that specializes in luxury homes, without checking how other segments are represented. What is the principal concern?
Compared with analyzing one matched sale pair for one feature, what can a suitably specified multiple regression do?
The base-period median sale price is $400,000 and the current-period median is $460,000. Compute the price relative defined as current ÷ base, as a decimal to three places.
The assessment-to-sale ratios are 0.8, 0.85, 0.9, 0.92, 0.95, 0.98, 1.02, 1.05, 1.08, 1.1, 1.15, 1.2. Calculate COD as [average absolute deviation from the median ÷ median]×100. For even n, average the two middle ratios. Report the COD as a percentage to two decimals.
Assessment-to-sale ratios are 0.94, 0.96, 0.98, 1, 1.01. Compute the arithmetic mean. Report as a decimal ratio to three places.
Market data show a first quartile sale price of $405,000 and a third quartile sale price of $495,000. What is the interquartile range, to the nearest dollar?
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Given first quartile $400,000, median $440,000 and third quartile $500,000, compute the trimean (Q1+2×median+Q3)/4. Report to the nearest dollar.
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