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GED Math — Data Analysis & Statistics
🏠 Real Estate Data Analysis
Percent change, probability from a table, and scatter plots — all from Daniel's housing data!
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📊
The Data Table
8 months of inventory and median sales price
📈
Percent Change
July→August price increase = 6.7% ✅
🎲
Probability from Table
P(price increase) = 4/7 ✅
🔵
Scatter Plots
Inventory vs. Median Price — correct axes
💡
GED Tips
Reading tables, % change traps, axis labels
📝
Practice Quiz
8 GED-style questions from this data set

💡 Three Skills in One Passage

This GED passage uses one data table to test three different math skills: percent change (how much did price increase?), probability (what fraction of months showed an increase?), and scatter plots (which graph correctly shows inventory vs. price?). This lesson teaches all three!

The Data Table — Daniel's Housing Research
Study this table carefully — all three GED questions come from it!
📌 What the Columns Mean

Inventory (months): Predicted number of months to sell that month's supply of houses
Median Sales Price: The middle value of all house prices sold that month (half sold above, half below)

MonthInventory (months)Median Sales PricePrice vs. Prev. Month
January6.3$221,700— (first month)
February4.9$239,900▲ +$18,200
March4.3$239,800▼ −$100
April4.2$236,400▼ −$3,400
May4.2$239,200▲ +$2,800
June4.2$232,600▼ −$6,600
July4.3$237,400▲ +$4,800
August4.7$253,200▲ +$15,800
⭐ Key Observations

July → August: Largest single-month price jump (+$15,800) — this is what Q1 tests
Price increases (excluding Jan): Feb, May, July, August = 4 out of 7 months — this is what Q2 tests
Lower inventory → higher price? This relationship is what the scatter plot (Q3) tests

Skill 1 — Percent Change (July → August)
The table shows a large increase from July to August. What percent increase is that?
Percent Change Formula
% Change = (New − Old) ÷ Old × 100
📌 Three Steps

1. Find the change (New − Old)
2. Divide the change by the original (Old) value
3. Multiply by 100 to convert to a percent

🎯 The GED Problem — July to August
From the table: July median = $237,400  |  August median = $253,200
Step 1
Find the change:
New − Old = $253,200 − $237,400 = $15,800
Step 2
Divide by the original (July):
$15,800 ÷ $237,400 = 0.06655...
Step 3
Multiply by 100 and round to nearest tenth:
0.06655 × 100 = 6.655% ≈ 6.7%
✅ Answer: 6.7% increase from July to August
Answer Trap Checker
ChoiceHow You'd Get ItCorrect?
6.7%$15,800 ÷ $237,400 × 100 = 6.655% ≈ 6.7% ✅✅ CORRECT
15.8%Divided change by August price (wrong denominator!) ❌❌ Trap!
6.2%Close but rounding error ❌❌ Wrong
14.2%Used wrong months or values ❌❌ Wrong
⚠️ #1 Trap — Wrong Denominator!

Always divide by the ORIGINAL (Old) value — NOT the new value.
15.8% comes from $15,800 ÷ $253,200 × 100 — that's the new (August) price. Always use July (the starting month)!

Skill 2 — Probability from a Table
If Daniel randomly picks a month (not January), what's the probability of a price increase?
Basic Probability Formula
P(event) = favorable outcomes ÷ total possible outcomes
🎯 The GED Problem — Price Increase Probability
Excluding January (no previous month to compare), if Daniel randomly selects a month from the table, what is the probability the median sales price increased over the previous month?
Step 1
List months we can compare (all except January): Feb, Mar, Apr, May, Jun, Jul, Aug → 7 total months
Step 2
Count months where price INCREASED:
Feb: $239,900 > $221,700 ✅
Mar: $239,800 < $239,900 ❌
Apr: $236,400 < $239,800 ❌
May: $239,200 > $236,400 ✅
Jun: $232,600 < $239,200 ❌
Jul: $237,400 > $232,600 ✅
Aug: $253,200 > $237,400 ✅
4 months increased
Step 3
Write the probability as a fraction:
P = favorable ÷ total = 4 ÷ 7 = 4/7
✅ Answer: 4/7 — 4 months out of 7 had a price increase
MonthPrice vs. Prev.Increase?
February$239,900 vs $221,700✅ Yes (+$18,200)
March$239,800 vs $239,900❌ No (−$100)
April$236,400 vs $239,800❌ No (−$3,400)
May$239,200 vs $236,400✅ Yes (+$2,800)
June$232,600 vs $239,200❌ No (−$6,600)
July$237,400 vs $232,600✅ Yes (+$4,800)
August$253,200 vs $237,400✅ Yes (+$15,800)
Total increases / Total months4 / 7 = 4/7
Skill 3 — Reading & Choosing Scatter Plots
Daniel wants to see if inventory level affects median sales price. Which graph shows that correctly?
📌 Key Rule — Axis Placement

When a problem says "X affects Y" or "does X determine Y?", the convention is:
X-axis (horizontal): The variable that might be the cause (inventory)
Y-axis (vertical): The variable that might be the effect (median sales price)

🎯 The GED Problem
"Daniel wants to create a scatter plot of the data to determine whether inventory affects median sales price." Which scatter plot is correct?
Key
Inventory is the independent variable (x-axis)
Median Sales Price is the dependent variable (y-axis)
Look for
X-axis labeled "Inventory (months)" with values 4 to 7
Y-axis labeled "Median Sales Price (thousands)" with values 220 to 260
✅ Correct graph: Inventory on x-axis, Median Sales Price on y-axis
Why Each Answer is Right or Wrong:
A
✅ CORRECT — X: Inventory (4–7), Y: Median Sales Price (220–260). Tests whether inventory predicts price.
B
❌ Wrong — axes are swapped (Price on X, Inventory on Y). Would test if price predicts inventory — opposite direction.
C
❌ Wrong — X-axis shows Month numbers (1–8), not Inventory. This shows price over time, not inventory vs. price.
D
❌ Wrong — Y-axis shows Month, X-axis shows Price. Neither axis matches the question's intent.
Correct scatter plot: Inventory (months) on x-axis vs. Median Sales Price on y-axis
💡 Reading the Pattern

Looking at the data: when inventory is LOW (4.2–4.3 months) prices tend to be HIGHER ($236K–$239K). When inventory is HIGH (6.3 months = January), price is lowest ($221K). This suggests a negative relationship — as inventory increases, price tends to decrease.

GED Tips — Data Analysis Passages
What to do when you see a table or graph on the GED!
💡
Always read column headers first

Before trying to answer questions, read every column title carefully. "Inventory (months)" means "months needed to sell" — not number of houses!

💡
For % change — divide by the ORIGINAL (older) value

New − Old = change. Change ÷ Old × 100 = %. Never divide by the New (larger) value — that's the #1 error.

💡
For probability — count very carefully

List all possible outcomes. Count favorable ones. Watch for "excluding January" type conditions — they change your total!

💡
For scatter plots — match the question's cause → effect order

"Does X affect Y?" → X goes on the horizontal axis, Y goes on the vertical axis. Check axis labels and scales match the data range.

💡
Median ≠ Mean

Median is the MIDDLE value. It's not the average. On the GED, "median sales price" means exactly half of homes sold above and half below that price.

Three Formulas to Remember
SkillFormulaThis Passage
Percent Change(New−Old)÷Old×1006.7%
ProbabilityFavorable÷Total4/7
Scatter PlotCause=X, Effect=YInventory=X
Practice Quiz — Real Estate Data Analysis
8 questions based on Daniel's housing table. Use the data to answer each one!
📊 Reference Table
MonthInventoryMedian Price
January6.3$221,700
February4.9$239,900
March4.3$239,800
April4.2$236,400
May4.2$239,200
June4.2$232,600
July4.3$237,400
August4.7$253,200
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