Data Interpretation Graphs

🟢 Lite — Quick Review (1h–1d)

Rapid summary for last-minute revision before your exam.

Data Interpretation Graphs — Quick Facts

Graph Types in CAT DI:

Graph Type	What It Shows	Best For
Line Graph	Trends over time	Growth, decline, patterns
Histogram	Frequency distribution	Class intervals, continuous data
Frequency Polygon	Line connecting class midpoints	Overlaying multiple distributions
Cumulative Frequency (Ogive)	Running total	Finding median, quartiles
Scatter Plot	Relationship between two variables	Correlation, trend identification
Bubble Chart	Three variables (x, y, bubble size)	Adding a third dimension

Reading Axes:

• Always check units (thousands, millions, percentage)
• Check if y-axis starts at zero (if not, differences are exaggerated)
• Note time intervals (yearly, quarterly, monthly)

Key Calculations:

• Percentage change: $\frac{\text{new} - \text{old}}{\text{old}} \times 100$
• Average growth rate: $\frac{\text{final} - \text{initial}}{\text{initial}} \times \frac{100}{n}$
• Compound Annual Growth Rate (CAGR): $\left(\frac{V_{\text{end}}}{V_{\text{begin}}}\right)^{1/n} - 1$

⚡ CAT Exam Tip: When asked “what percentage of X is Y”, check if the graph shows percentages directly or absolute values that you need to convert.

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🟡 Standard — Regular Study (2d–2mo)

For students who want genuine understanding.

Data Interpretation Graphs — Study Guide

Reading Histograms (Class Intervals):

In a histogram, bar area = frequency (not bar height).

If class widths are unequal, you must use frequency density: $$\text{Frequency Density} = \frac{\text{Frequency}}{\text{Class Width}}$$

Example:

Class	Frequency	Width	Frequency Density
0-10	20	10	2.0
10-20	30	10	3.0
20-40	40	20	2.0
40-60	25	20	1.25

Ogive (Cumulative Frequency Graph):

To find median from an ogive:

1. Locate $n/2$ on the y-axis (cumulative frequency)
2. Draw a horizontal line to intersect the ogive
3. Drop a vertical line to the x-axis
4. Read the value — this is the median

Example: From an ogive with $n = 50$, median class is at $n/2 = 25$.

Reading the ogive at $y = 25$, the corresponding $x$ value is approximately 42.

This means the median value is 42.

Scatter Plot Interpretation:

When looking at a scatter plot:

• Positive correlation: as x increases, y increases (points trend upward)
• Negative correlation: as x increases, y decreases (points trend downward)
• No correlation: points randomly scattered
• Perfect correlation: all points lie on a straight line

⚡ Common Student Mistake: Confusing histogram bars (touching, no gaps — continuous data) with bar charts (gaps between bars — categorical data).

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🔴 Extended — Deep Study (3mo+)

Comprehensive coverage for students on a longer study timeline.

Data Interpretation Graphs — Comprehensive Notes

Advanced Ogive Calculations:

Finding Quartiles from Ogive:

$Q_1$ (25th percentile): locate $n/4$ on y-axis, project to x-axis $Q_3$ (75th percentile): locate $3n/4$ on y-axis, project to x-axis Interquartile Range (IQR) = $Q_3 - Q_1$

Example: For a dataset with $n = 200$: $Q_1$ is at $y = 50$ → $x \approx 25$ $Q_3$ is at $y = 150$ → $x \approx 55$ IQR = $55 - 25 = 30$

Using Ogive to Estimate Missing Values:

If you know $Q_1 = 25$ and $Q_3 = 55$, and the dataset has 200 observations, you can identify that approximately 50 observations lie between 25 and 55.

Correlation and Line of Best Fit:

The correlation coefficient $r$ measures the strength and direction of linear relationship:

$$r = \frac{n\sum xy - \sum x \sum y}{\sqrt{[n\sum x^2 - (\sum x)^2][n\sum y^2 - (\sum y)^2]}}$$

Values of $r$:

• $r = 1$: perfect positive correlation
• $r = -1$: perfect negative correlation
• $r = 0$: no linear correlation
• $|r| > 0.7$: strong correlation
• $0.3 < |r| < 0.7$: moderate correlation

Interpolation and Extrapolation:

Example: From a scatter plot showing population growth:

Year	Population (millions)
2010	50
2015	65
2020	85

Linear interpolation for 2017: Between 2015 (65) and 2020 (85), 2017 is 2/5 of the way. $65 + (85-65) \times \frac{2}{5} = 65 + 8 = 73$ million

Graph Conversion Problems:

When asked to convert a frequency polygon to an ogive (or vice versa), remember:

• Frequency polygon: plot at class midpoints
• Ogive: plot at class boundaries (cumulative)

Box-and-Whisker Plot from Ogive:

From ogive, you can read the five-number summary:

• Minimum: leftmost point (or $n/2$ on the lower tail)
• $Q_1$: value at $n/4$
• Median: value at $n/2$
• $Q_3$: value at $3n/4$
• Maximum: rightmost point

Reading Dual-Axis Graphs:

When a graph has two y-axes (one left, one right):

1. Identify which axis applies to which series
2. Watch for different scales — a line may appear steeper on one axis than the other even if the growth rate is the same

JAMB Pattern Analysis (CAT 2015-2024):

• 2015: Histogram with unequal class widths
• 2017: Ogive for median and quartile calculation
• 2019: Scatter plot correlation interpretation
• 2021: Dual-axis line graph with percentage calculations
• 2023: Frequency polygon overlay comparison
• 2024: Box plot construction from data summary

⚡ Exam Strategy: When a question asks for a value from a graph where you need to interpolate between marked points, draw construction lines on the diagram to show your reasoning. Even if you estimate slightly differently, your method will be clearer.