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
21
single-family resale homes
Median net sale price
$630,000
average $701,772
Median net price per SF
$207
average $206
Median days on market
42 days
average 56 days
1. SummaryResale homes · 21 sales · October 26, 2025 – October 25, 2026
This study looks at the 21 resale homes sold in Ranch At Deer Creek 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 sold21 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 · 21 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 $832K are about 1,180 SF (42%) larger than homes under $594K.
3.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under $594K$594K–$628K$630K–$832KOver $832K
Higher-priced homes Over $832K
Are much larger.
Lower-priced homes Under $594K
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 $594K
$594K–$628K
$630K–$832K
Over $832K
Real difference?
Net price per SF
$195 per SF
$195 per SF
$207 per SF
$229 per SF
unclear
Living area
2,806 SFSmallest
3,135 SF
3,617 SF
3,990 SFLargest
✓ large
Year built
2004
2002
2004
2003
unclear
Days on market
37 days
21 days
88 days
14 days
unclear
Discount from original list
-15.9%
3.7%
7.1%
2.4%
unclear
Price cut before sale
40%
40%
67%
20%
unclear
Seller paid closing costs or repairs
60%
80%
67%
80%
unclear
Has a view
0%
20%
33%
20%
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 $229 per SF for homes over $832K and $195 per SF for homes under $594K. It does not move in a straight line; homes over $832K are highest. Defined in 8.1.2.
– No clear difference · could be chance
3.4 Homes over $832K are about 1,180 SF (42%) larger than homes under $594K
The average is 3,990 SF for homes over $832K and 2,806 SF for homes under $594K. 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 2003 for homes over $832K and 2004 for homes under $594K. It does not move in a straight line; homes $630K–$832K are highest. Defined in 8.1.4.
– No clear difference · could be chance
3.6 Days on market: no clear difference
The median is 14 days for homes over $832K and 37 days for homes under $594K. It does not move in a straight line; homes $630K–$832K 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 2.4% for homes over $832K and -15.9% for homes under $594K. It does not move in a straight line; homes $630K–$832K 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.
20% of homes over $832K had a price cut before sale, against 40% of homes under $594K. Defined in 8.1.7.
80% of homes over $832K had the seller pay closing costs or repairs, against 60% of homes under $594K. Defined in 8.1.8.
20% of homes over $832K have a view, against 0% of homes under $594K. 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 $594K5 sales
$594K–$628K5 sales
$630K–$832K6 sales
Over $832K5 sales
All21 sales
Real difference?
Net sale price average
$539,439
$608,108
$739,383
$912,636
$701,772
by design
Net price per SF average
$195
$195
$207
$229
$206
unclear
Living area average
2,806
3,135
3,617
3,990
3,398
✓ large
Year built median
2004
2002
2004
2003
2003
unclear
3.10 The numbers: selling
Under $594K5 sales
$594K–$628K5 sales
$630K–$832K6 sales
Over $832K5 sales
All21 sales
Real difference?
Days on market median
37
21
88
14
42
unclear
Discount from original list average
−15.9%
3.7%
7.1%
2.4%
−0.3%
unclear
Price cut before sale
40%
40%
67%
20%
43%
unclear
Seller paid closing costs or repairs
60%
80%
67%
80%
71%
unclear
Has a view
0%
20%
33%
20%
19%
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 · 21 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 2,924 SF
2,924–3,312 SF
3,391–3,854 SF
Over 3,854 SF
Real difference?
Net sale price
$561K
$653K
$720K
$870K
unclear
Net price per SF
$208 per SF
$210 per SF
$198 per SF
$211 per SF
unclear
Year built
2003
2002
2004
2003
unclear
Days on market
31 days
28 days
72 days
14 days
unclear
Discount from original list
4.9%
5.2%
-11.6%
2.7%
unclear
Price cut before sale
40%
40%
67%
20%
unclear
Seller paid closing costs or repairs
60%
60%
83%
80%
unclear
Has a view
0%
40%
33%
0%
unclear
4.3 Net sale price: no clear difference
The average is $870K for homes over 3,854 SF and $561K for homes under 2,924 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 Net price per SF: no clear difference
The average is $211 per SF for homes over 3,854 SF and $208 per SF for homes under 2,924 SF. It does not move in a straight line; homes over 3,854 SF are highest. Defined in 8.1.2.
– No clear difference · could be chance
4.5 Year built: no clear difference
The median is 2003 for homes over 3,854 SF and 2003 for homes under 2,924 SF. It does not move in a straight line; homes 3,391–3,854 SF are highest. Defined in 8.1.4.
– No clear difference · could be chance
4.6 Days on market: no clear difference
The median is 14 days for homes over 3,854 SF and 31 days for homes under 2,924 SF. It does not move in a straight line; homes 3,391–3,854 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 2.7% for homes over 3,854 SF and 4.9% for homes under 2,924 SF. It does not move in a straight line; homes 2,924–3,312 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 3,854 SF had a price cut before sale, against 40% of homes under 2,924 SF. Defined in 8.1.7.
80% of homes over 3,854 SF had the seller pay closing costs or repairs, against 60% of homes under 2,924 SF. Defined in 8.1.8.
0% of homes over 3,854 SF have a view, against 0% of homes under 2,924 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 2,924 SF5 sales
2,924–3,312 SF5 sales
3,391–3,854 SF6 sales
Over 3,854 SF5 sales
All21 sales
Real difference?
Net sale price average
$561,439
$652,508
$719,920
$869,592
$701,772
unclear
Net price per SF average
$208
$210
$198
$211
$206
unclear
Living area average
2,705
3,103
3,616
4,124
3,398
by design
Year built median
2003
2002
2004
2003
2003
unclear
4.10 The numbers: selling
Under 2,924 SF5 sales
2,924–3,312 SF5 sales
3,391–3,854 SF6 sales
Over 3,854 SF5 sales
All21 sales
Real difference?
Days on market median
31
28
72
14
42
unclear
Discount from original list average
4.9%
5.2%
−11.6%
2.7%
−0.3%
unclear
Price cut before sale
40%
40%
67%
20%
43%
unclear
Seller paid closing costs or repairs
60%
60%
83%
80%
71%
unclear
Has a view
0%
40%
33%
0%
19%
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 · 21 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 $626K for homes built after 2004 and $698K for homes built before 2002. It does not move in a straight line; homes built 2003–2004 are highest. Defined in 8.1.1.
Not tested: too few sales.
5.4 Net price per SF: described, not tested
The average is $197 per SF for homes built after 2004 and $220 per SF for homes built before 2002. It does not move in a straight line; homes built before 2002 are highest. Defined in 8.1.2.
Not tested: too few sales.
5.5 Living area: described, not tested
The average is 3,245 SF for homes built after 2004 and 3,172 SF for homes built before 2002. It does not move in a straight line; homes built 2003–2004 are highest. Defined in 8.1.3.
Not tested: too few sales.
5.6 Days on market: described, not tested
The median is 92 days for homes built after 2004 and 24 days for homes built before 2002. It does not move in a straight line; homes built after 2004 are highest. Defined in 8.1.5.
Not tested: too few sales.
5.7 Discount from original list: described, not tested
The average is 7.3% for homes built after 2004 and 5.2% for homes built before 2002. It does not move in a straight line; homes built after 2004 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.
67% of homes built after 2004 had a price cut before sale, against 25% of homes built before 2002. Defined in 8.1.7.
67% of homes built after 2004 had the seller pay closing costs or repairs, against 50% of homes built before 2002. Defined in 8.1.8.
17% of homes built after 2004 have a view, against 25% of homes built before 2002. 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 20024 sales
20024 sales
2003–20047 sales
After 20046 sales
All21 sales
Net sale price average
$697,875
$694,564
$772,894
$626,200
$701,772
Net price per SF average
$220
$206
$207
$197
$206
Living area average
3,172
3,334
3,695
3,245
3,398
Year built median
2001
2002
2003
2006
2003
5.10 The numbers: selling
Before 20024 sales
20024 sales
2003–20047 sales
After 20046 sales
All21 sales
Days on market median
24
21
37
92
42
Discount from original list average
5.2%
2.9%
−11.8%
7.3%
−0.3%
Price cut before sale
25%
50%
29%
67%
43%
Seller paid closing costs or repairs
50%
100%
71%
67%
71%
Has a view
25%
25%
14%
17%
19%
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 · 21 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: 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 $753K for homes with a view and $690K 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 $218 per SF for homes with a view and $204 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 3,450 SF for homes with a view and 3,386 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 2003 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 35 days for homes with a view and 47 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 6.4% for homes with a view and -1.8% 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.
25% of homes with a view had a price cut before sale, against 47% 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 71% 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
View4 sales
No view17 sales
All21 sales
Net sale price average
$753,185
$689,675
$701,772
Net price per SF average
$218
$204
$206
Living area average
3,450
3,386
3,398
Year built median
2002
2003
2003
6.11 The numbers: selling
View4 sales
No view17 sales
All21 sales
Days on market median
35
47
42
Discount from original list average
6.4%
−1.8%
−0.3%
Price cut before sale
25%
47%
43%
Seller paid closing costs or repairs
75%
71%
71%
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 Ranch At Deer Creek.
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
21 resale sales. Average $701,772; median $630,000; standard deviation $152,711; middle half (25th–75th percentile) $593,740–$831,800; lowest $481,993, highest $973,160. 15 sales had a seller payment; their median payment was $3,700.
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
21 resale sales. Average $206; median $207; standard deviation $26; middle half (25th–75th percentile) $191–$219; lowest $147, highest $260.
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
21 resale sales. Average 3,398; median 3,391; standard deviation 566; middle half (25th–75th percentile) 2,924–3,854; lowest 2,378, highest 4,366.
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
21 resale sales. Average 2003; median 2003; standard deviation 2; middle half (25th–75th percentile) 2002–2005; lowest 2001, highest 2007.
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
21 resale sales. Average 56; median 42; standard deviation 47; middle half (25th–75th percentile) 19–87; lowest 3, highest 173. 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
21 resale sales. Average −0.3%; median 4.0%; standard deviation 23.1%; middle half (25th–75th percentile) 2.5%–6.7%; lowest −100.0%, highest 12.5%. 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
9 of 21 resale sales (42.9%).
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
15 of 21 resale sales (71.4%).
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
4 sales with a view, 17 without, 0 unclassified. Most common View entries: None 14, Neighborhood 4, Trees/Woods 3, Golf Course 1, Hill Country 1, Pool 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 = Cedar Park, SubdivisionName contains any of “ranch at deer creek” (case-insensitive). A record is kept when its subdivision name belongs to the Ranch At Deer Creek family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 21 closed Ranch At Deer Creek records over the prior year, in ZIP 78613. 8 subdivision spellings kept: Ranch At Deer Creek Ph 2 Sec (9); Ranch At Deer Creek (3); Ranch At Deer Creek Ph 1 Sec (3); Ranch At Deer Creek Ph 3 Sec (2); Ranch At Deer Creek Ph 01 Sec 01 (1); Ranch At Deer Creek Ph 03 Sec 01 (1); Ranch At Deer Creek Ph 03 Sec 04 (1); Ranch At Deer Creek Ph 03 Sec (1). 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
21 single-family sales in the window: 21 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
21 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 $594K”.
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 $594K: $481,993–$590,500 (5 sales); $594K–$628K: $593,740–$628,000 (5 sales); $630K–$832K: $630,000–$831,800 (6 sales); Over $832K: $848,522–$973,160 (5 sales) Quartiles by living area: Under 2,924 SF: 2,378–2,884 SF (5 sales); 2,924–3,312 SF: 2,924–3,312 SF (5 sales); 3,391–3,854 SF: 3,391–3,854 SF (6 sales); Over 3,854 SF: 3,964–4,366 SF (5 sales) Quartiles by year built: Before 2002: 2001–2001 (4 sales); 2002: 2002–2002 (4 sales); 2003–2004: 2003–2004 (7 sales); After 2004: 2005–2007 (6 sales) View and no view: View: MLS lists a view (4 sales); No view: None or Neighborhood (17 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 $701,772, median $630,000. Days on market: average 56, median 42: 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
1 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 = 7.32
3
0.0623
p < 0.0063
Unclear
ε² = 0.366
large
Living area
Kruskal–Wallis
H = 13.08
3
0.0045
p < 0.0063
Yes
ε² = 0.654
large
Year built
Kruskal–Wallis
H = 3.21
3
0.3601
p < 0.0063
Unclear
ε² = 0.161
large
Days on market
Kruskal–Wallis
H = 4.85
3
0.1833
p < 0.0063
Unclear
ε² = 0.242
large
Discount from original list
Kruskal–Wallis
H = 5.61
3
0.1324
p < 0.0063
Unclear
ε² = 0.280
large
Price cut before sale
Chi-square
χ² = 2.49
3
0.4773
p < 0.0063
Unclear
Cramér’s V = 0.344
medium
Seller paid closing costs or repairs
Chi-square
χ² = 0.75
3
0.8622
p < 0.0063
Unclear
Cramér’s V = 0.189
small
Has a view
Chi-square
χ² = 1.98
3
0.5773
p < 0.0063
Unclear
Cramér’s V = 0.307
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 = 12.19
3
0.0067
p < 0.0063
Unclear
ε² = 0.610
large
Net price per SF
Kruskal–Wallis
H = 0.69
3
0.8759
p < 0.0063
Unclear
ε² = 0.034
small
Year built
Kruskal–Wallis
H = 0.70
3
0.8741
p < 0.0063
Unclear
ε² = 0.035
small
Days on market
Kruskal–Wallis
H = 3.65
3
0.3017
p < 0.0063
Unclear
ε² = 0.183
large
Discount from original list
Kruskal–Wallis
H = 2.25
3
0.5213
p < 0.0063
Unclear
ε² = 0.113
medium
Price cut before sale
Chi-square
χ² = 2.49
3
0.4773
p < 0.0063
Unclear
Cramér’s V = 0.344
medium
Seller paid closing costs or repairs
Chi-square
χ² = 1.24
3
0.7442
p < 0.0063
Unclear
Cramér’s V = 0.243
small
Has a view
Chi-square
χ² = 4.57
3
0.2061
p < 0.0063
Unclear
Cramér’s V = 0.467
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.