NDA Maths · Statistics
Frequency Distributions and Graphical Representation
How to organise raw data into class intervals + frequencies, and which graph (histogram, polygon, ogive, pie chart) tells the story best.
Why this matters
14 PYQs across 2017–2025 — small subtopic but reliable scoring territory. Three shapes dominate: picking the right graph for given data, computing a histogram class's relative height when widths are unequal, and reading values straight off a frequency table (mode, cumulative count, median).
Concept 1 of 3: Histograms, Frequency Polygons & Ogives
Definition
Histogram bars have width = class width and height = . For equal class widths, density is proportional to raw frequency. An ogive is a cumulative-frequency curve; the value of at which the ogive equals is the median.
Frequency Density (for unequal class widths)
- Class widthupper bound − lower bound of the class
Visualization · change the bin width, watch the shape change
Same 30 data points each time — only the bin width changes. At width 50 the shape looks almost uniform; at width 5 it looks jagged. Choosing bin width is part of the analysis, not the data.
Worked example
Practice this conceptself-check · 4 quick reps
The same idea in a real exam question:
Example 1 · Statistics · Frequency Distributions and Graphical Representation
Bar height frequency when class widths differ
Concept 2 of 3: Pie Charts
Definition
For a category with frequency and total frequency , the sector angle is . Equivalently, the angle is proportional to the frequency, with proportionality constant . Two pie charts for two totals: to compare them fairly, the AREAS are drawn proportional to the totals, so the RADII are proportional to : . Totals in the ratio need radii , not .
Sector Angle in a Pie Chart
- frequency / count of category
- total frequency
Diagram · pie sector = (f / total) × 360°
- Walk8/20 → 144° (40%)
- Cycle6/20 → 108° (30%)
- Bus4/20 → 72° (20%)
- Car2/20 → 36° (10%)
Each slice's central angle is its share of 360°: Walk = 8/20 × 360° = 144°. The four angles add to 360° and the frequencies to the total — the check most pie-chart questions turn on.
Worked example
Practice this conceptself-check · 4 quick reps
The same idea in a real exam question:
Example 2 · Statistics · Frequency Distributions and Graphical Representation
All angles MUST sum to
Concept 3 of 3: Reading Frequency Tables — Mode, Cumulative, Median
Definition
Modal class: the class with the highest frequency. Cumulative frequency at class : . Median for grouped data: , where = lower bound of the median class, = cumulative frequency before it, = frequency of median class, = class width.
Median from a Grouped Frequency Distribution
- lower bound of the median class
- cumulative frequency BEFORE the median class
- frequency of the median class
- class width
Worked example
Practice this conceptself-check · 4 quick reps
The same idea in a real exam question:
Example 3 · Statistics · Frequency Distributions and Graphical Representation
Cumulative frequency is RUNNING total, not class total
Identify the median class FIRST, then plug into the formula
Summary — formulas & gotchas at a glance
A revision cheat-sheet for the formulas and gotchas above. Click any concept name to jump back to its full explanation.
Formulas (3)
- Histograms, Frequency Polygons & Ogives
Frequency Density (for unequal class widths)
- Pie Charts
Sector Angle in a Pie Chart
- Reading Frequency Tables — Mode, Cumulative, Median
Median from a Grouped Frequency Distribution
Watch out for (4)
- Bar height frequency when class widths differ→ Histograms, Frequency Polygons & Ogives
- All angles MUST sum to→ Pie Charts
- Cumulative frequency is RUNNING total, not class total→ Reading Frequency Tables — Mode, Cumulative, Median
- Identify the median class FIRST, then plug into the formula→ Reading Frequency Tables — Mode, Cumulative, Median
Test yourself on Statistics
20 past NDA questions from this chapter, timed at 25 minutes and marked the way the exam marks it. You see your score and every answer the moment you finish. Free to start.