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
20
single-family resale homes
Median net sale price
$897,450
average $942,451
Median net price per SF
$360
average $340
Median days on market
10 days
average 36 days
1. SummaryResale homes · 20 sales · October 26, 2025 – October 25, 2026
This study looks at the 20 resale homes sold in Jester Point 02 Sec 06-B in the 365 days to October 25, 2026. A full year is used because only 9 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 sold20 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 · 20 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: no measure differs enough between the groups to rule out chance.
3.1 Key differences
The top group against the bottom group: no measure differs enough to rule out chance.
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 $845K
$845K–$895K
$900K–$1.05M
Over $1.05M
Real difference?
Net price per SF
$330 per SF
$348 per SF
$328 per SF
$352 per SF
unclear
Living area
2,341 SF
2,565 SF
2,947 SF
3,461 SF
unclear
Year built
1989
1994
1995
1991
unclear
Days on market
31 days
6 days
7 days
11 days
unclear
Discount from original list
4.5%
4.4%
4.2%
3.9%
unclear
Price cut before sale
40%
40%
40%
0%
unclear
Seller paid closing costs or repairs
60%
60%
60%
60%
unclear
Has a view
80%
80%
40%
40%
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 $352 per SF for homes over $1.05M and $330 per SF for homes under $845K. It does not move in a straight line; homes over $1.05M are highest. Defined in 8.1.2.
– No clear difference · could be chance
3.4 Living area: no clear difference
The average is 3,461 SF for homes over $1.05M and 2,341 SF for homes under $845K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.
– No clear difference · could be chance
3.5 Year built: no clear difference
The median is 1991 for homes over $1.05M and 1989 for homes under $845K. It does not move in a straight line; homes $900K–$1.05M are highest. Defined in 8.1.4.
– No clear difference · could be chance
3.6 Days on market: no clear difference
The median is 11 days for homes over $1.05M and 31 days for homes under $845K. It does not move in a straight line; homes under $845K 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 3.9% for homes over $1.05M and 4.5% for homes under $845K. It falls step by step from the lowest range to the 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.
0% of homes over $1.05M had a price cut before sale, against 40% of homes under $845K. Defined in 8.1.7.
60% of homes over $1.05M had the seller pay closing costs or repairs, against 60% of homes under $845K. Defined in 8.1.8.
40% of homes over $1.05M have a view, against 80% of homes under $845K. 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 $845K5 sales
$845K–$895K5 sales
$900K–$1.05M5 sales
Over $1.05M5 sales
All20 sales
Real difference?
Net sale price average
$760,500
$865,993
$941,509
$1,201,800
$942,451
by design
Net price per SF average
$330
$348
$328
$352
$340
unclear
Living area average
2,341
2,565
2,947
3,461
2,828
unclear
Year built median
1989
1994
1995
1991
1991
unclear
3.10 The numbers: selling
Under $845K5 sales
$845K–$895K5 sales
$900K–$1.05M5 sales
Over $1.05M5 sales
All20 sales
Real difference?
Days on market median
31
6
7
11
10
unclear
Discount from original list average
4.5%
4.4%
4.2%
3.9%
4.2%
unclear
Price cut before sale
40%
40%
40%
0%
30%
unclear
Seller paid closing costs or repairs
60%
60%
60%
60%
60%
unclear
Has a view
80%
80%
40%
40%
60%
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 · 20 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: no measure differs enough between the groups to rule out chance.
4.1 Key differences
The top group against the bottom group: no measure differs enough to rule out chance.
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 2,185 SF
2,185–2,730 SF
2,795–3,292 SF
Over 3,292 SF
Real difference?
Net sale price
$773K
$917K
$1.06M
$1.02M
unclear
Net price per SF
$365 per SF
$369 per SF
$343 per SF
$281 per SF
unclear
Year built
1989
1989
1994
1995
unclear
Days on market
67 days
31 days
7 days
11 days
unclear
Discount from original list
4.2%
5.2%
1.3%
6.3%
unclear
Price cut before sale
40%
60%
0%
20%
unclear
Seller paid closing costs or repairs
40%
80%
60%
60%
unclear
Has a view
80%
80%
40%
40%
unclear
4.3 Net sale price: no clear difference
The average is $1.02M for homes over 3,292 SF and $773K for homes under 2,185 SF. It does not move in a straight line; homes 2,795–3,292 SF are highest. Defined in 8.1.1.
– No clear difference · could be chance
4.4 Net price per SF: no clear difference
The average is $281 per SF for homes over 3,292 SF and $365 per SF for homes under 2,185 SF. It does not move in a straight line; homes 2,185–2,730 SF are highest. Defined in 8.1.2.
– No clear difference · could be chance
4.5 Year built: no clear difference
The median is 1995 for homes over 3,292 SF and 1989 for homes under 2,185 SF. It rises 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 11 days for homes over 3,292 SF and 67 days for homes under 2,185 SF. It does not move in a straight line; homes under 2,185 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 6.3% for homes over 3,292 SF and 4.2% for homes under 2,185 SF. It does not move in a straight line; homes over 3,292 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.
20% of homes over 3,292 SF had a price cut before sale, against 40% of homes under 2,185 SF. Defined in 8.1.7.
60% of homes over 3,292 SF had the seller pay closing costs or repairs, against 40% of homes under 2,185 SF. Defined in 8.1.8.
40% of homes over 3,292 SF have a view, against 80% of homes under 2,185 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 2,185 SF5 sales
2,185–2,730 SF5 sales
2,795–3,292 SF5 sales
Over 3,292 SF5 sales
All20 sales
Real difference?
Net sale price average
$773,493
$916,909
$1,063,800
$1,015,600
$942,451
unclear
Net price per SF average
$365
$369
$343
$281
$340
unclear
Living area average
2,120
2,500
3,090
3,603
2,828
by design
Year built median
1989
1989
1994
1995
1991
unclear
4.10 The numbers: selling
Under 2,185 SF5 sales
2,185–2,730 SF5 sales
2,795–3,292 SF5 sales
Over 3,292 SF5 sales
All20 sales
Real difference?
Days on market median
67
31
7
11
10
unclear
Discount from original list average
4.2%
5.2%
1.3%
6.3%
4.2%
unclear
Price cut before sale
40%
60%
0%
20%
30%
unclear
Seller paid closing costs or repairs
40%
80%
60%
60%
60%
unclear
Has a view
80%
80%
40%
40%
60%
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 · 20 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 $1.00M for homes built after 1995 and $976K for homes built before 1989. It does not move in a straight line; homes built after 1995 are highest. Defined in 8.1.1.
Not tested: too few sales.
5.4 Net price per SF: described, not tested
The average is $336 per SF for homes built after 1995 and $369 per SF for homes built before 1989. It does not move in a straight line; homes built before 1989 are highest. Defined in 8.1.2.
Not tested: too few sales.
5.5 Living area: described, not tested
The average is 3,068 SF for homes built after 1995 and 2,663 SF for homes built before 1989. It does not move in a straight line; homes built after 1995 are highest. Defined in 8.1.3.
Not tested: too few sales.
5.6 Days on market: described, not tested
The median is 14 days for homes built after 1995 and 49 days for homes built before 1989. It does not move in a straight line; homes built before 1989 are highest. Defined in 8.1.5.
Not tested: too few sales.
5.7 Discount from original list: described, not tested
The average is 4.5% for homes built after 1995 and 8.3% for homes built before 1989. It does not move in a straight line; homes built before 1989 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.
25% of homes built after 1995 had a price cut before sale, against 67% of homes built before 1989. Defined in 8.1.7.
50% of homes built after 1995 had the seller pay closing costs or repairs, against 50% of homes built before 1989. Defined in 8.1.8.
75% of homes built after 1995 have a view, against 50% of homes built before 1989. 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 19896 sales
1989–19903 sales
1991–19957 sales
After 19954 sales
All20 sales
Net sale price average
$976,067
$870,249
$908,995
$1,004,725
$942,451
Net price per SF average
$369
$361
$307
$336
$340
Living area average
2,663
2,421
3,008
3,068
2,828
Year built median
1988
1989
1994
1996
1991
5.10 The numbers: selling
Before 19896 sales
1989–19903 sales
1991–19957 sales
After 19954 sales
All20 sales
Days on market median
49
5
6
14
10
Discount from original list average
8.3%
1.8%
1.7%
4.5%
4.2%
Price cut before sale
67%
33%
0%
25%
30%
Seller paid closing costs or repairs
50%
67%
71%
50%
60%
Has a view
50%
100%
43%
75%
60%
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 · 20 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.
Bottom line: no measure differs enough between the groups to rule out chance.
6.1 Key differences
The top group against the bottom group: no measure differs enough to rule out chance.
6.2 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.
View
No view
Real difference?
Net sale price
$914K
$985K
unclear
Net price per SF
$353 per SF
$320 per SF
unclear
Living area
2,628 SF
3,129 SF
unclear
Year built
1990
1992
unclear
Days on market
10 days
14 days
unclear
Discount from original list
2.6%
6.7%
unclear
Price cut before sale
25%
38%
unclear
Seller paid closing costs or repairs
75%
38%
unclear
6.3 Net sale price: no clear difference
The average is $914K for homes with a view and $985K for homes without a view. Defined in 8.1.1.
– No clear difference · could be chance
6.4 Net price per SF: no clear difference
The average is $353 per SF for homes with a view and $320 per SF for homes without a view. Defined in 8.1.2.
– No clear difference · could be chance
6.5 Living area: no clear difference
The average is 2,628 SF for homes with a view and 3,129 SF for homes without a view. Defined in 8.1.3.
– No clear difference · could be chance
6.6 Year built: no clear difference
The median is 1990 for homes with a view and 1992 for homes without a view. Defined in 8.1.4.
– No clear difference · could be chance
6.7 Days on market: no clear difference
The median is 10 days for homes with a view and 14 days for homes without a view. Defined in 8.1.5.
– No clear difference · could be chance
6.8 Discount from original list: no clear difference
The average is 2.6% for homes with a view and 6.7% for homes without a view. Defined in 8.1.6.
– No clear difference · could be chance
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.
25% of homes with a view had a price cut before sale, against 38% of homes without a view. Defined in 8.1.7.
75% of homes with a view had the seller pay closing costs or repairs, against 38% of homes without a view. Defined in 8.1.8.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
6.10 The numbers: price and size
View12 sales
No view8 sales
All20 sales
Real difference?
Net sale price average
$914,343
$984,612
$942,451
unclear
Net price per SF average
$353
$320
$340
unclear
Living area average
2,628
3,129
2,828
unclear
Year built median
1990
1992
1991
unclear
6.11 The numbers: selling
View12 sales
No view8 sales
All20 sales
Real difference?
Days on market median
10
14
10
unclear
Discount from original list average
2.6%
6.7%
4.2%
unclear
Price cut before sale
25%
38%
30%
unclear
Seller paid closing costs or repairs
75%
38%
60%
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 8.3.4.
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 Jester Point 02 Sec 06-B.
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
20 resale sales. Average $942,451; median $897,450; standard deviation $183,978; middle half (25th–75th percentile) $841,250–$1,051,675; lowest $562,500, highest $1,330,000. 12 sales had a seller payment; their median payment was $9,626.
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
20 resale sales. Average $340; median $360; standard deviation $58; middle half (25th–75th percentile) $271–$383; lowest $254, highest $435.
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
20 resale sales. Average 2,828; median 2,762; standard deviation 612; middle half (25th–75th percentile) 2,182–3,301; lowest 2,089, highest 4,088.
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
20 resale sales. Average 1992; median 1991; standard deviation 4; middle half (25th–75th percentile) 1988–1995; lowest 1986, highest 2000.
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
20 resale sales. Average 36; median 10; standard deviation 47; middle half (25th–75th percentile) 6–54; lowest 2, highest 159. 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
20 resale sales. Average 4.2%; median 2.2%; standard deviation 6.7%; middle half (25th–75th percentile) 0.2%–8.6%; lowest −5.4%, highest 18.2%. 4 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
6 of 20 resale sales (30.0%).
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
12 of 20 resale sales (60.0%).
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
12 sales with a view, 8 without, 0 unclassified. Most common View entries: Hill Country 8, Park/Greenbelt 6, None 6, Trees/Woods 6, Neighborhood 5, Panoramic 5, Canyon 3, Skyline 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 = Austin, SubdivisionName contains any of “jester point”, “canyon ridge” (case-insensitive). A record is kept when its subdivision name belongs to the Jester Point 02 Sec 06-B family, the same rule comparable sales use (it includes Canyon Ridge Ph A Sec 02, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 20 closed Jester Point 02 Sec 06-B records over the prior year, in ZIP 78750. 10 subdivision spellings kept: Jester Point 02 Sec 04 (5); Jester Point 02 Sec 06-B (4); Jester Point 02 Sec 05-B (2); Jester Point (2); Jester Point 02 Sec 03 (2); Jester Point 2 Sec 6-b (1); Canyon Ridge Ph A Sec 01 (1); Canyon Ridge Ph A Sec (1); Canyon Ridge Ph A Sec 02 (1); Jester Point 02 Sec 08 (1). Names found by the search but not part of Jester Point 02 Sec 06-B, left out: Jester - Canyon Ridge Ph A Sec 03 (1).
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 9 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
20 single-family sales in the window: 20 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
20 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 $845K”.
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 $845K: $562,500–$830,000 (5 sales); $845K–$895K: $845,000–$895,000 (5 sales); $900K–$1.05M: $899,900–$1,048,900 (5 sales); Over $1.05M: $1,060,000–$1,330,000 (5 sales) Quartiles by living area: Under 2,185 SF: 2,089–2,171 SF (5 sales); 2,185–2,730 SF: 2,185–2,730 SF (5 sales); 2,795–3,292 SF: 2,795–3,292 SF (5 sales); Over 3,292 SF: 3,328–4,088 SF (5 sales) Quartiles by year built: Before 1989: 1986–1988 (6 sales); 1989–1990: 1989–1990 (3 sales); 1991–1995: 1991–1995 (7 sales); After 1995: 1996–2000 (4 sales) View and no view: View: MLS lists a view (12 sales); No view: None or Neighborhood (8 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 $942,451, median $897,450. Days on market: average 36, median 10: 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; View and no view: 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
0 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 = 0.47
3
0.9245
p < 0.0063
Unclear
ε² = 0.025
small
Living area
Kruskal–Wallis
H = 8.41
3
0.0382
p < 0.0063
Unclear
ε² = 0.443
large
Year built
Kruskal–Wallis
H = 1.96
3
0.5818
p < 0.0063
Unclear
ε² = 0.103
medium
Days on market
Kruskal–Wallis
H = 0.76
3
0.8590
p < 0.0063
Unclear
ε² = 0.040
small
Discount from original list
Kruskal–Wallis
H = 0.46
3
0.9270
p < 0.0063
Unclear
ε² = 0.024
small
Price cut before sale
Chi-square
χ² = 2.86
3
0.4142
p < 0.0063
Unclear
Cramér’s V = 0.378
medium
Seller paid closing costs or repairs
Chi-square
χ² = 0.00
3
1.0000
p < 0.0063
Unclear
Cramér’s V = 0.000
negligible
Has a view
Chi-square
χ² = 3.33
3
0.3430
p < 0.0063
Unclear
Cramér’s V = 0.408
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 = 8.07
3
0.0445
p < 0.0063
Unclear
ε² = 0.425
large
Net price per SF
Kruskal–Wallis
H = 7.19
3
0.0660
p < 0.0063
Unclear
ε² = 0.379
large
Year built
Kruskal–Wallis
H = 2.93
3
0.4019
p < 0.0063
Unclear
ε² = 0.154
large
Days on market
Kruskal–Wallis
H = 2.23
3
0.5264
p < 0.0063
Unclear
ε² = 0.117
medium
Discount from original list
Kruskal–Wallis
H = 1.54
3
0.6737
p < 0.0063
Unclear
ε² = 0.081
medium
Price cut before sale
Chi-square
χ² = 4.76
3
0.1901
p < 0.0063
Unclear
Cramér’s V = 0.488
medium
Seller paid closing costs or repairs
Chi-square
χ² = 1.67
3
0.6444
p < 0.0063
Unclear
Cramér’s V = 0.289
small
Has a view
Chi-square
χ² = 3.33
3
0.3430
p < 0.0063
Unclear
Cramér’s V = 0.408
medium
8.3.3 Quartiles by year built
Too few sales in a group to test.
8.3.4 View and no view
Measure
Test
Statistic
df
p-value
Threshold
Real difference?
Effect size
Size
Net sale price
Mann–Whitney U
U = 32.00
—
0.2380
p < 0.0063
Unclear
rank-biserial r = 0.333
medium
Net price per SF
Mann–Whitney U
U = 64.00
—
0.2380
p < 0.0063
Unclear
rank-biserial r = 0.333
medium
Living area
Mann–Whitney U
U = 24.00
—
0.0697
p < 0.0063
Unclear
rank-biserial r = 0.500
large
Year built
Mann–Whitney U
U = 50.50
—
0.8765
p < 0.0063
Unclear
rank-biserial r = 0.052
negligible
Days on market
Mann–Whitney U
U = 46.50
—
0.9384
p < 0.0063
Unclear
rank-biserial r = 0.031
negligible
Discount from original list
Mann–Whitney U
U = 36.00
—
0.3837
p < 0.0063
Unclear
rank-biserial r = 0.250
small
Price cut before sale
Chi-square
χ² = 0.36
1
0.5501
p < 0.0063
Unclear
Cramér’s V = 0.134
small
Seller paid closing costs or repairs
Chi-square
χ² = 2.81
1
0.0935
p < 0.0063
Unclear
Cramér’s V = 0.375
medium
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.