MARKET STUDY All analysis covers resale homes only. New construction appears once, in its own section. Click any dot on the map for that sale.
Resale sales, 365 days
24
single-family resale homes
Median net sale price
$324,466
average $332,317
Median net price per SF
$168
average $176
Median days on market
28 days
average 72 days
1. SummaryResale homes · 24 sales · October 26, 2025 – October 25, 2026
This study looks at the 24 resale homes sold in Round Rock Ranch Ph 01 Sec 01 in the 365 days to October 25, 2026. A full year is used because only 15 resale homes sold in the last 180 days. New construction is left out and shown on its own in section 7. The homes are compared four ways: by price, by living area, by year built and with or without a view. The first three are split into four equal groups (quartiles), each named by its range.
Each comparison has its own section (3–6) with everything about it in one place: the key differences, a table of every measure at a glance, the charts and the numbers.
2. Where the resale homes sold24 resale homes · colored by price range
Each dot is one resale home, colored by its price range. Use the buttons to show one price range at a time. Click a dot for that sale: address, close date, original and last list price, net sale price, living area, net sale per SF and days on market. Scroll or pinch to zoom.
3. Quartiles by net sale priceResale homes · 24 sales · October 26, 2025 – October 25, 2026
Sales ranked by net sale price and cut into four equal groups. This is the usual way to read a market by price.
Bottom line
Homes over $372K are about 780 SF (48%) larger than homes under $300K.
3.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under $300K$300K–$323K$326K–$372KOver $372K
Higher-priced homes Over $372K
Are much larger.
Lower-priced homes Under $300K
Are much smaller.
3.2 At a glance
Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.
Under $300K
$300K–$323K
$326K–$372K
Over $372K
Real difference?
Net price per SF
$171 per SF
$185 per SF
$188 per SF
$160 per SF
unclear
Living area
1,638 SFSmallest
1,739 SF
1,892 SF
2,422 SFLargest
✓ large
Year built
2000
2001
1996
1995
unclear
Days on market
52 days
40 days
16 days
32 days
unclear
Discount from original list
10.8%
6.5%
4.8%
6.1%
unclear
Price cut before sale
50%
50%
33%
67%
unclear
Seller paid closing costs or repairs
50%
83%
83%
100%
unclear
Has a view
0%
17%
0%
0%
unclear
How to read this section. Each heading gives the finding. The gold box says whether the gap is real (✓, with its size) or could be chance (–). The section ends with its numbers; the tests are in section 8.3.
3.3 Net price per SF: no clear difference
The average is $160 per SF for homes over $372K and $171 per SF for homes under $300K. It does not move in a straight line; homes $326K–$372K are highest. Defined in 8.1.2.
– No clear difference · could be chance
3.4 Homes over $372K are about 780 SF (48%) larger than homes under $300K
The average is 2,422 SF for homes over $372K and 1,638 SF for homes under $300K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.
✓ Real difference · large
3.5 Year built: no clear difference
The median is 1995 for homes over $372K and 2000 for homes under $300K. It does not move in a straight line; homes $300K–$323K are highest. Defined in 8.1.4.
– No clear difference · could be chance
3.6 Days on market: no clear difference
The median is 32 days for homes over $372K and 52 days for homes under $300K. It does not move in a straight line; homes under $300K are highest. Defined in 8.1.5.
– No clear difference · could be chance
3.7 Discount from original list: no clear difference
The average is 6.1% for homes over $372K and 10.8% for homes under $300K. It does not move in a straight line; homes under $300K are highest. Defined in 8.1.6.
– No clear difference · could be chance
3.8 How often: price cut before sale, seller paid closing costs or repairs, has a view
Each bar is the share of homes in the group, in percent.
67% of homes over $372K had a price cut before sale, against 50% of homes under $300K. Defined in 8.1.7.
100% of homes over $372K had the seller pay closing costs or repairs, against 50% of homes under $300K. Defined in 8.1.8.
0% of homes over $372K have a view, against 0% of homes under $300K. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance
3.9 The numbers: price and size
Under $300K6 sales
$300K–$323K6 sales
$326K–$372K6 sales
Over $372K6 sales
All24 sales
Real difference?
Net sale price average
$277,616
$316,833
$348,780
$386,039
$332,317
by design
Net price per SF average
$171
$185
$188
$160
$176
unclear
Living area average
1,638
1,739
1,892
2,422
1,923
✓ large
Year built median
2000
2001
1996
1995
1997
unclear
3.10 The numbers: selling
Under $300K6 sales
$300K–$323K6 sales
$326K–$372K6 sales
Over $372K6 sales
All24 sales
Real difference?
Days on market median
52
40
16
32
28
unclear
Discount from original list average
10.8%
6.5%
4.8%
6.1%
7.0%
unclear
Price cut before sale
50%
50%
33%
67%
50%
unclear
Seller paid closing costs or repairs
50%
83%
83%
100%
79%
unclear
Has a view
0%
17%
0%
0%
4%
unclear
Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.1.
4. Quartiles by living areaResale homes · 24 sales · October 26, 2025 – October 25, 2026
Sales ranked by living area and cut into four equal groups, from the smallest homes to the largest.
Bottom line
Homes over 2,296 SF sell for about $38 per SF (19%) less than homes under 1,559 SF.
4.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under 1,559 SF1,559–1,756 SF1,901–2,296 SFOver 2,296 SF
Larger homes Over 2,296 SF
Sell for less per square foot.
Smaller homes Under 1,559 SF
Sell for more per square foot.
4.2 At a glance
Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.
Under 1,559 SF
1,559–1,756 SF
1,901–2,296 SF
Over 2,296 SF
Real difference?
Net sale price
$298K
$314K
$334K
$383K
unclear
Net price per SF
$196 per SFHighest
$187 per SF
$162 per SF
$158 per SFLowest
✓ large
Year built
2002
2002
1995
1995
unclear
Days on market
12 days
25 days
102 days
32 days
unclear
Discount from original list
3.7%
7.6%
11.2%
5.6%
unclear
Price cut before sale
33%
33%
67%
67%
unclear
Seller paid closing costs or repairs
50%
83%
83%
100%
unclear
Has a view
17%
0%
0%
0%
unclear
4.3 Net sale price: no clear difference
The average is $383K for homes over 2,296 SF and $298K for homes under 1,559 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.
– No clear difference · could be chance
4.4 Homes over 2,296 SF sell for about $38 per SF (19%) less than homes under 1,559 SF
The average is $158 per SF for homes over 2,296 SF and $196 per SF for homes under 1,559 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.
✓ Real difference · large
4.5 Year built: no clear difference
The median is 1995 for homes over 2,296 SF and 2002 for homes under 1,559 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.4.
– No clear difference · could be chance
4.6 Days on market: no clear difference
The median is 32 days for homes over 2,296 SF and 12 days for homes under 1,559 SF. It does not move in a straight line; homes 1,901–2,296 SF are highest. Defined in 8.1.5.
– No clear difference · could be chance
4.7 Discount from original list: no clear difference
The average is 5.6% for homes over 2,296 SF and 3.7% for homes under 1,559 SF. It does not move in a straight line; homes 1,901–2,296 SF are highest. Defined in 8.1.6.
– No clear difference · could be chance
4.8 How often: price cut before sale, seller paid closing costs or repairs, has a view
Each bar is the share of homes in the group, in percent.
67% of homes over 2,296 SF had a price cut before sale, against 33% of homes under 1,559 SF. Defined in 8.1.7.
100% of homes over 2,296 SF had the seller pay closing costs or repairs, against 50% of homes under 1,559 SF. Defined in 8.1.8.
0% of homes over 2,296 SF have a view, against 17% of homes under 1,559 SF. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance
4.9 The numbers: price and size
Under 1,559 SF6 sales
1,559–1,756 SF6 sales
1,901–2,296 SF6 sales
Over 2,296 SF6 sales
All24 sales
Real difference?
Net sale price average
$297,717
$314,082
$334,348
$383,122
$332,317
unclear
Net price per SF average
$196
$187
$162
$158
$176
✓ large
Living area average
1,515
1,677
2,070
2,430
1,923
by design
Year built median
2002
2002
1995
1995
1997
unclear
4.10 The numbers: selling
Under 1,559 SF6 sales
1,559–1,756 SF6 sales
1,901–2,296 SF6 sales
Over 2,296 SF6 sales
All24 sales
Real difference?
Days on market median
12
25
102
32
28
unclear
Discount from original list average
3.7%
7.6%
11.2%
5.6%
7.0%
unclear
Price cut before sale
33%
33%
67%
67%
50%
unclear
Seller paid closing costs or repairs
50%
83%
83%
100%
79%
unclear
Has a view
17%
0%
0%
0%
4%
unclear
Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.2.
5. Quartiles by year builtResale homes · 24 sales · October 26, 2025 – October 25, 2026
Sales ranked by year built and cut into four groups, from the oldest to the newest. Homes built in the same year always stay in the same group, so group sizes can differ a little.
Bottom line: too few sales to test.
5.1 Key differences
The top group against the bottom group: no measure differs enough to rule out chance.
5.3 Net sale price: described, not tested
The average is $307K for homes built after 2000 and $376K for homes built before 1996. It does not move in a straight line; homes built before 1996 are highest. Defined in 8.1.1.
Not tested: too few sales.
5.4 Net price per SF: described, not tested
The average is $193 per SF for homes built after 2000 and $164 per SF for homes built before 1996. It does not move in a straight line; homes built after 2000 are highest. Defined in 8.1.2.
Not tested: too few sales.
5.5 Living area: described, not tested
The average is 1,594 SF for homes built after 2000 and 2,310 SF for homes built before 1996. It falls step by step from the lowest range to the highest. Defined in 8.1.3.
Not tested: too few sales.
5.6 Days on market: described, not tested
The median is 24 days for homes built after 2000 and 64 days for homes built before 1996. It does not move in a straight line; homes built before 1996 are highest. Defined in 8.1.5.
Not tested: too few sales.
5.7 Discount from original list: described, not tested
The average is 7.9% for homes built after 2000 and 6.6% for homes built before 1996. It does not move in a straight line; homes built after 2000 are highest. Defined in 8.1.6.
Not tested: too few sales.
5.8 How often: price cut before sale, seller paid closing costs or repairs, has a view
Each bar is the share of homes in the group, in percent.
38% of homes built after 2000 had a price cut before sale, against 50% of homes built before 1996. Defined in 8.1.7.
75% of homes built after 2000 had the seller pay closing costs or repairs, against 83% of homes built before 1996. Defined in 8.1.8.
12% of homes built after 2000 have a view, against 0% of homes built before 1996. Defined in 8.1.9.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.
Has a view: Not tested: too few sales.
5.9 The numbers: price and size
Before 19966 sales
19963 sales
1997–20007 sales
After 20008 sales
All24 sales
Net sale price average
$375,918
$320,304
$328,876
$307,132
$332,317
Net price per SF average
$164
$160
$173
$193
$176
Living area average
2,310
2,039
1,918
1,594
1,923
Year built median
1993
1996
1997
2002
1997
5.10 The numbers: selling
Before 19966 sales
19963 sales
1997–20007 sales
After 20008 sales
All24 sales
Days on market median
64
10
39
24
28
Discount from original list average
6.6%
7.1%
6.4%
7.9%
7.0%
Price cut before sale
50%
33%
71%
38%
50%
Seller paid closing costs or repairs
83%
67%
86%
75%
79%
Has a view
0%
0%
0%
12%
4%
Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.3.
6. View and no viewResale homes · 24 sales · October 26, 2025 – October 25, 2026
Sales where the MLS lists a view (greenbelt or park, trees, golf course, hill country, water and similar) against those listing none or only the neighborhood. 1 sales whose MLS view entry is only “See Remarks” are left out.
Bottom line: too few sales to test.
6.1 Key differences
The top group against the bottom group: no measure differs enough to rule out chance.
6.3 Net sale price: described, not tested
The average is $322K for homes with a view and $335K for homes without a view. Defined in 8.1.1.
Not tested: too few sales.
6.4 Net price per SF: described, not tested
The average is $210 per SF for homes with a view and $174 per SF for homes without a view. Defined in 8.1.2.
Not tested: too few sales.
6.5 Living area: described, not tested
The average is 1,528 SF for homes with a view and 1,957 SF for homes without a view. Defined in 8.1.3.
Not tested: too few sales.
6.6 Year built: described, not tested
The median is 2002 for homes with a view and 1997 for homes without a view. Defined in 8.1.4.
Not tested: too few sales.
6.7 Days on market: described, not tested
The median is 13 days for homes with a view and 32 days for homes without a view. Defined in 8.1.5.
Not tested: too few sales.
6.8 Discount from original list: described, not tested
The average is 4.0% for homes with a view and 7.2% for homes without a view. Defined in 8.1.6.
Not tested: too few sales.
6.9 How often: price cut before sale, seller paid closing costs or repairs
Each bar is the share of homes in the group, in percent.
0% of homes with a view had a price cut before sale, against 55% of homes without a view. Defined in 8.1.7.
100% of homes with a view had the seller pay closing costs or repairs, against 77% of homes without a view. Defined in 8.1.8.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.
6.10 The numbers: price and size
View1 sales
No view22 sales
All23 sales
Net sale price average
$321,500
$334,809
$334,231
Net price per SF average
$210
$174
$176
Living area average
1,528
1,957
1,939
Year built median
2002
1997
1997
6.11 The numbers: selling
View1 sales
No view22 sales
All23 sales
Days on market median
13
32
25
Discount from original list average
4.0%
7.2%
7.0%
Price cut before sale
0%
55%
52%
Seller paid closing costs or repairs
100%
77%
78%
Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.4.
7. New constructionBasic statistics · 0 sales · October 26, 2025 – October 25, 2026
Homes sold new by the builder in the same 365 days. They are left out of every other section and shown here as basic figures only: 0 sales, no groups, no tests.
Note: these are only the new-construction sales reported in ABOR MLS. Builders often sell homes without listing them in the MLS, so these figures do not necessarily represent all new-construction sales in Round Rock Ranch Ph 01 Sec 01.
No new-construction sales were reported in ABOR MLS in this window.
Same definitions as the rest of the study (section 8). New construction = NewConstructionYN true, or PropertyCondition “New Construction” or “Under Construction”.
8. AppendixMeasures, methods and tests
Each measure and method three ways: in plain words, as statistics, and with the data from this study.
8.1 Measures
8.1.1 Net sale price
In simple terms
What the seller actually kept: the closing price, less money the seller gave back to the buyer for closing costs or repairs. It is the truest price for comparing homes.
Statistically
Net = ClosePrice − ACTRIS_BuyersClsgCostPdbySell − ACTRIS_RepairsAmount (a blank counts as $0). Summarized by the arithmetic mean in the slices.
The data
24 resale sales. Average $332,317; median $324,466; standard deviation $42,965; middle half (25th–75th percentile) $298,125–$372,528; lowest $245,000, highest $405,900. 19 sales had a seller payment; their median payment was $8,000.
8.1.2 Net price per SF
In simple terms
Net sale price divided by the heated and cooled square feet. It puts homes of different sizes on the same footing: did buyers pay more for each square foot, not just for more square feet?
Statistically
psf = Net ÷ LivingArea, per sale; summarized by the mean of the per-sale ratios.
The data
24 resale sales. Average $176; median $168; standard deviation $22; middle half (25th–75th percentile) $161–$188; lowest $140, highest $223.
8.1.3 Living area
In simple terms
The heated and cooled space, as listed in the MLS. Garages and porches are not counted.
Statistically
RESO LivingArea, in square feet. Sales under 400 SF are treated as entry errors and left out.
The data
24 resale sales. Average 1,923; median 1,828; standard deviation 382; middle half (25th–75th percentile) 1,558–2,299; lowest 1,457, highest 2,783.
8.1.4 Year built
In simple terms
The year the home was finished, as listed in the MLS. It shows whether a group leans to older or newer phases of the community.
Statistically
RESO YearBuilt; summarized by the median, with the 25th–75th percentile (middle half) on the charts.
The data
24 resale sales. Average 1998; median 1997; standard deviation 4; middle half (25th–75th percentile) 1996–2002; lowest 1992, highest 2004.
8.1.5 Days on market
In simple terms
How many days the home was on the market before the buyer's offer was accepted, counting any earlier listing periods (relists). This is the days on market agents and clients quote.
Statistically
CDOM = max(CumulativeDaysOnMarket, DaysOnMarket, PurchaseContractDate − ListingContractDate). The MLS counter can freeze at a price change, so the contract-date gap is a floor. Summarized by the median, because a few homes that sat for months pull an average up.
The data
24 resale sales. Average 72; median 28; standard deviation 93; middle half (25th–75th percentile) 12–87; lowest 2, highest 358. 0 sales went under contract on their listing date (0 days).
8.1.6 Discount from original list
In simple terms
How far below the first asking price the home sold, after seller payments. It measures how much negotiating room sellers gave up. A negative figure means the home sold above its first asking price.
Statistically
Discount % = (OriginalListPrice − Net) ÷ OriginalListPrice × 100, per sale; summarized by the mean.
The data
24 resale sales. Average 7.0%; median 4.8%; standard deviation 7.2%; middle half (25th–75th percentile) 2.8%–10.2%; lowest −5.4%, highest 23.7%. 2 sales closed above their first asking price.
8.1.7 Price cut before sale
In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
12 of 24 resale sales (50.0%).
8.1.8 Seller paid closing costs or repairs
In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
19 of 24 resale sales (79.2%).
8.1.9 Has a view
In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
1 sales with a view, 22 without, 1 unclassified. Most common View entries: None 13, Neighborhood 10, See Remarks 1, Park/Greenbelt 1, Trees/Woods 1.
8.2 Methods
8.2.1 Data source
In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Round Rock, SubdivisionName contains any of “round rock ranch”, “rolling ridge” (case-insensitive). A record is kept when its subdivision name belongs to the Round Rock Ranch Ph 01 Sec 01 family, the same rule comparable sales use (it includes Rolling Ridge Sec 01-B, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 24 closed Round Rock Ranch Ph 01 Sec 01 records over the prior year, in ZIP 78665, 78664. 13 subdivision spellings kept, the most common: Round Rock Ranch Ph 01 Sec 01 (6); Round Rock Ranch Ph 01 Sec 03B (3); Round Rock Ranch Pud 13 Ph 01 (2); Round Rock Ranch Ph 01 Sec 03A (2); Round Rock Ranch Ph 01 Sec 02 Amd (2); Round Rock Ranch (2); Rolling Ridge Sec 01-A (1); Rolling Ridge Sec 01-B (1); Round Rock Ranch Ph 01 Sec 02 (1); ROUND ROCK RANCH PUD #13 (1); ROUND ROCK RANCH (1); Round Rock Ranch PUD 13 Ph 01 (1); and 1 more (1 records). No other names were found by the search.
8.2.2 Study window
In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 15 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
24 single-family sales in the window: 24 resale, 0 new construction.
8.2.3 Resale and new construction
In simple terms
A resale home was previously owned. New construction is sold by the builder and behaves differently, so it is kept out of every analysis and reported once on its own.
Statistically
New construction = NewConstructionYN true, or PropertyCondition contains “New Construction” or “Under Construction”. Everything else is resale.
The data
24 resale; 0 new construction.
8.2.4 Sales left out
In simple terms
A few records cannot be used as entered and are left out before any analysis.
Statistically
Excluded: PropertySubType other than Single Family Residence; no OriginalListPrice; LivingArea under 400 SF; seller payments above 10% of ClosePrice (treated as entry errors).
The data
None in this window.
8.2.5 Quartiles and groups
In simple terms
Sales lined up from lowest to highest and cut into four groups of about equal size. Each group is named by its range, for example “Under $300K”.
Statistically
Sort by the slicing variable; cut k sits at round(nk/4), k = 1…3. A cut that would split tied values moves to the nearer edge of the tie. A group under 3 sales merges into its smaller neighbor. Range names use the next group's lowest value (“Under”) and the previous group's highest value (“Over”/“After”).
The data
Quartiles by net sale price: Under $300K: $245,000–$294,000 (6 sales); $300K–$323K: $299,500–$323,000 (6 sales); $326K–$372K: $325,932–$372,000 (6 sales); Over $372K: $374,110–$405,900 (6 sales) Quartiles by living area: Under 1,559 SF: 1,457–1,554 SF (6 sales); 1,559–1,756 SF: 1,559–1,756 SF (6 sales); 1,901–2,296 SF: 1,901–2,296 SF (6 sales); Over 2,296 SF: 2,309–2,783 SF (6 sales) Quartiles by year built: Before 1996: 1992–1994 (6 sales); 1996: 1996–1996 (3 sales); 1997–2000: 1997–2000 (7 sales); After 2000: 2002–2004 (8 sales) View and no view: View: MLS lists a view (1 sales); No view: None or Neighborhood (22 sales)
8.2.6 Average and median
In simple terms
The average adds the values and divides by how many; one very expensive home can pull it up. The median is the middle value, with half above and half below.
Statistically
Mean x̄ = (1/n) Σ xᵢ; median = 50th percentile. Price, price per SF, living area and discount use the mean; days on market and year built use the median (skewed or whole-year values).
The data
Net sale price: average $332,317, median $324,466. Days on market: average 72, median 28: the average is pulled up by a few long listings.
8.2.7 Kruskal–Wallis test
In simple terms
Checks whether a measure really differs across the four groups of a slice. It uses each sale's rank, not its value, so a few extreme sales cannot drive the answer.
Statistically
H = [12/(n(n+1))] Σ Rⱼ²/nⱼ − 3(n+1), compared with χ² on k − 1 degrees of freedom (Kruskal & Wallis, 1952). Effect size ε² = H/(n − 1): ≥ .01 small, ≥ .06 medium, ≥ .14 large (Tomczak & Tomczak, 2014). A slice is tested only when every group has at least 5 sales; smaller groups are described, not tested.
The data
Run on every measure in sections 3–5; each result is in 8.3.
8.2.8 Mann–Whitney U test
In simple terms
The same check when there are only two groups: view against no view.
Statistically
Two-sided U test (Mann & Whitney, 1947). Effect size = rank-biserial correlation |1 − 2U/(n₁n₂)|: ≥ .10 small, ≥ .30 medium, ≥ .50 large (Kerby, 2014; Cohen, 1988).
The data
Run on every measure in section 6; results in 8.3.
8.2.9 Chi-square test
In simple terms
Checks whether a yes/no share (price cut, seller payment, view) differs between groups more than chance would.
Statistically
Pearson χ² on the 2 × k table of counts, no continuity correction (Pearson, 1900). Effect size Cramér's V = √(χ²/n): ≥ .10 small, ≥ .30 medium, ≥ .50 large (Cramér, 1946).
The data
Run on the three shares in every slice; results in 8.3.
8.2.10 Real difference (significance)
In simple terms
“Real difference” means a gap this large would be very unlikely if the groups were really alike. Because many measures are checked in each slice, the bar is set higher than usual.
Statistically
Significant when p < 0.05 ÷ m, where m is the number of measures tested in that slice (Bonferroni; Dunn, 1961). The slicing variable itself differs by design and is not tested.
The data
Quartiles by net sale price: m = 8, threshold p < 0.0063; Quartiles by living area: m = 8, threshold p < 0.0063
8.2.11 Size of a difference
In simple terms
A difference can be real but small. The size word (small, medium, large) says how much the groups pull apart.
Statistically
ε² for Kruskal–Wallis, rank-biserial r for Mann–Whitney, Cramér's V for chi-square, with the thresholds above; below the small threshold the size is “negligible”.
The data
2 real differences across the four slices; sizes are listed in 8.3.
8.2.12 Rounding in the text
In simple terms
Headings and sentences round figures so they read easily; the tables at the end of each section give them in full.
Statistically
Prices in headings round to the nearest $1K; price per SF and days on market to the nearest whole number; living area to the nearest 10 SF; shares and percentage gaps to whole percents.
The data
Days on market is always shown in days.
8.3 Test results
Every test behind every gold box. Statistic, degrees of freedom (df), p-value, the threshold it must beat, and the size of the difference.
8.3.1 Quartiles by net sale price
Measure
Test
Statistic
df
p-value
Threshold
Real difference?
Effect size
Size
Net price per SF
Kruskal–Wallis
H = 4.37
3
0.2245
p < 0.0063
Unclear
ε² = 0.190
large
Living area
Kruskal–Wallis
H = 12.93
3
0.0048
p < 0.0063
Yes
ε² = 0.562
large
Year built
Kruskal–Wallis
H = 6.63
3
0.0847
p < 0.0063
Unclear
ε² = 0.288
large
Days on market
Kruskal–Wallis
H = 0.72
3
0.8679
p < 0.0063
Unclear
ε² = 0.031
small
Discount from original list
Kruskal–Wallis
H = 1.32
3
0.7244
p < 0.0063
Unclear
ε² = 0.057
small
Price cut before sale
Chi-square
χ² = 1.33
3
0.7212
p < 0.0063
Unclear
Cramér’s V = 0.236
small
Seller paid closing costs or repairs
Chi-square
χ² = 4.80
3
0.1870
p < 0.0063
Unclear
Cramér’s V = 0.447
medium
Has a view
Chi-square
χ² = 3.13
3
0.3719
p < 0.0063
Unclear
Cramér’s V = 0.361
medium
8.3.2 Quartiles by living area
Measure
Test
Statistic
df
p-value
Threshold
Real difference?
Effect size
Size
Net sale price
Kruskal–Wallis
H = 12.21
3
0.0067
p < 0.0063
Unclear
ε² = 0.531
large
Net price per SF
Kruskal–Wallis
H = 12.41
3
0.0061
p < 0.0063
Yes
ε² = 0.539
large
Year built
Kruskal–Wallis
H = 12.15
3
0.0069
p < 0.0063
Unclear
ε² = 0.528
large
Days on market
Kruskal–Wallis
H = 3.55
3
0.3142
p < 0.0063
Unclear
ε² = 0.154
large
Discount from original list
Kruskal–Wallis
H = 4.62
3
0.2018
p < 0.0063
Unclear
ε² = 0.201
large
Price cut before sale
Chi-square
χ² = 2.67
3
0.4459
p < 0.0063
Unclear
Cramér’s V = 0.333
medium
Seller paid closing costs or repairs
Chi-square
χ² = 4.80
3
0.1870
p < 0.0063
Unclear
Cramér’s V = 0.447
medium
Has a view
Chi-square
χ² = 3.13
3
0.3719
p < 0.0063
Unclear
Cramér’s V = 0.361
medium
8.3.3 Quartiles by year built
Too few sales in a group to test.
8.3.4 View and no view
Too few sales in a group to test.
8.4 Data notes
Left out of the analysis: 0 new-construction sales (basic statistics only, section 7); nothing else. Statistics: Python, NumPy 2.5.3, SciPy 1.18.1.
8.5 References
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Erlbaum.
Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press.
Dunn, O. J. (1961). Multiple comparisons among means. JASA, 56(293), 52–64.
Kerby, D. S. (2014). The simple difference formula: an approach to teaching nonparametric correlation. Comprehensive Psychology, 3, 11.IT.3.1.
Kruskal, W. H., & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. JASA, 47(260), 583–621.
Mann, H. B., & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18(1), 50–60.
Pearson, K. (1900). On the criterion that a given system of deviations… Philosophical Magazine, 50(302), 157–175.
Tomczak, M., & Tomczak, E. (2014). The need to report effect size estimates revisited. Trends in Sport Sciences, 21(1), 19–25.