In a market study, what does a frequency distribution of sale prices show?
Correct Answer
B) How many sales fall into each price bracket
A grouped frequency distribution reports the number of observations within each stated sale-price interval. It describes the distribution of prices in that sample. It does not by itself supply closing chronology, an overall mean or a joint price-area relationship. Different interval choices can change the visual appearance; identifying meaningful submarkets requires further evidence.
Why This Is the Correct Answer
Option B is correct because a grouped frequency distribution reports the number of sales within each stated sale-price interval. It shows how the sample's prices are distributed across brackets. A histogram is simply a bar chart of these counts, with bar lengths proportional to the number of observations in each class.
Why the Other Options Are Wrong
Option A: The order in which the transactions closed
Option A, the order in which the transactions closed, describes a chronological listing of sales. A frequency distribution groups sales by price bracket and does not preserve closing order.
Option C: The mean price of all the brackets combined
Option C, the mean price of all the brackets combined, is a single measure of central tendency. A frequency distribution reports counts in each bracket rather than one overall average.
Option D: The relationship between price and living area
Option D, the relationship between price and living area, involves two variables and would be examined with a scatter plot or regression. A frequency distribution of sale prices looks at only one variable, price.
Frequency means how many
The word frequency answers the question how often, so a frequency distribution counts how many sales land in each price bracket.
How to use: Use this link between frequency and counting whenever you must identify what a frequency table or histogram displays.
Exam Tip
If an answer describes two variables together or a single summary number, it is not describing a one-variable frequency distribution.
Common Mistakes to Avoid
- -Confusing a frequency distribution with a time-series listing of sales
- -Treating a histogram as proof of distinct submarkets without further evidence
- -Assuming a frequency distribution shows the relationship between two variables
Concept Deep Dive
Analysis
This question tests what a frequency distribution of sale prices actually reports. A frequency distribution groups observations into intervals and counts how many fall into each interval. It describes how prices are spread across the sample, not timing, an overall average or a relationship with another variable.
Background Knowledge
A frequency distribution sorts data into classes, or intervals, and records how many observations fall into each. Displayed as a histogram, it helps an analyst see where prices concentrate and how widely they spread, though the choice of interval widths can change its visual appearance.
Real-World Application
In a market study for a subdivision, an appraiser groups 60 recent sales into $25,000 price brackets. The resulting table shows that most sales fall between two middle brackets, giving the appraiser a picture of the typical price range before further analysis of submarkets.
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.
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Five assessment ratios are 0.90, 0.95, 1.00, 1.05 and 1.10. What is the coefficient of dispersion (COD)?
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Ratios are 0.90, 1.00 and 1.10. Define COD = 100 × mean absolute deviation from the median ÷ median, and sample COV = 100 × sample SD ÷ mean, with sample variance dividing squared deviations by n−1. Which pair results, to one decimal percent?
