Cumulative Frequency & Histogram Exam Tips for O Level & IGCSE Maths
Written and Compiled By Sir Hunain Zia, World Record Holder With 154 Total A Grades, 7 Distinctions and 11 World Records For Educate A Change O Level & IGCSE Mathematics Free Material
Understanding Frequency, Grouped Data & Key Terms
- Frequency = number of times a value occurs
- Grouped data = values grouped into class intervals
- Class interval types
- Equal width intervals
- Unequal width intervals
- Continuous data handling
- Use boundaries, not integer endpoints
- Cumulative frequency (CF)
- Running total of frequencies
- Increases as you move down table
- Histogram
- Graph for continuous data
- Area of bar represents frequency
- Height represents frequency density
Cumulative Frequency Tables: Fast and Accurate Setup
- Identify class intervals clearly
- Convert to class boundaries if needed
- List frequencies beside each interval
- Compute running totals
- CF₁ = f₁
- CF₂ = f₁ + f₂
- Continue until final interval
- Always ensure CF increases
- Final cumulative frequency = total number of observations
- Avoid errors
- Wrong additions
- Skipping intervals
- Misreading initial frequency
Constructing a Cumulative Frequency Graph (Ogive)
- Use upper class boundaries on x-axis
- Use cumulative frequencies on y-axis
- Plot points at (upper boundary, cumulative frequency)
- Join points using smooth curve
- Ogive is always increasing
- Never decreasing
- Start graph at lower boundary of first interval with CF = 0
- Label axes clearly
- x-axis: measurement (e.g., height, weight, time)
- y-axis: cumulative frequency
- Use uniform scale for accuracy
Interpreting an Ogive for Exam Questions
Finding the Median
- Median = value at CF = N/2
- Locate N/2 on y-axis
- Draw horizontal line to meet curve
- Drop vertical line to x-axis
- Read value accurately
Finding Quartiles
- Lower quartile (Q₁) = N/4
- Upper quartile (Q₃) = 3N/4
- Use same method as median
- Read carefully using grid spacing
Finding Interquartile Range (IQR)
- IQR = Q₃ − Q₁
- Use correct quartile values
- Do not subtract frequencies; subtract x-values
Percentiles
- Example: 90th percentile = 0.90N
- Use ogive method to locate value
Using Ogive to Compare Groups
- Compare medians of curves
- Compare spread
- Larger IQR → more spread
- Compare shape
- Steeper sections = concentrated values
Histogram Essentials Every Student Must Know
- Histogram used for continuous data
- Bars touch each other (no gaps)
- Height of bar = frequency density
- Frequency density = frequency ÷ class width
Why Use Frequency Density?
- Needed when class widths differ
- Area of bar = frequency
- Ensures fair comparison across intervals
Constructing Histograms: Step-by-Step Strategy
- Step 1: Identify class intervals
- Step 2: Calculate class widths
- Step 3: Compute frequency densities
- Step 4: Draw bars with heights equal to frequency density
- Step 5: Label axes
- x-axis: class intervals
- y-axis: frequency density
Accuracy Tips
- Keep width exactly proportional to class interval
- Draw bars exactly between boundaries
- Mark scale on vertical axis clearly
- Avoid bars floating above axis
Recognising Shapes of Histograms
- Symmetrical
- Peak in middle
- Positively skewed
- Tail to right
- Negatively skewed
- Tail to left
- Bimodal
- Two peaks
- Use shape to describe distribution
Converting Grouped Data Table into Histogram Quickly
- Identify unequal intervals
- Compute frequency density for each
- Plot bars according to widths
- Avoid plotting raw frequency (common mistake)
When to Use Ogive vs Histogram
- Use cumulative frequency graph for
- Median
- Quartiles
- IQR
- Percentiles
- Use histogram for
- Shape analysis
- Density-based comparison
- Modality recognition
- Estimating distribution visually
Median, Quartiles & IQR from Grouped Data WITHOUT Graph
- Identify the class containing the median
- Use interpolation if required
- Formula for median (grouped data approximation)
- Median ≈ L + {[(N/2 − CF before) ÷ f] × class width}
- Same approach for Q₁ and Q₃
Interpolation Tips
- L = lower boundary of class
- CF before = cumulative frequency before median class
- f = frequency of median class
- Width = class width
- Substitute carefully
Comparing Two Distributions Using Graphical Measures
Use:
- Median
- IQR
- Histogram shape
- Spread
- Concentration of values
Statements That Score Marks
- “Group A has higher median than Group B, so tends to have greater values.”
- “Group A has larger IQR, meaning more variation.”
- “Histogram of Group B is more symmetric and less skewed.”
Common Errors Students Must Avoid
- Using midpoints instead of boundaries
- Forgetting bars must touch in histogram
- Using frequencies instead of density
- Incorrect CF addition
- Reading median from wrong axis
- Drawing straight lines instead of smooth curve for ogive
- Confusing cumulative frequency graph with histogram
- Misplacing quartiles
- Mixing lower and upper boundaries
- Incorrect interpolation substitution
Fast Methods for High-Speed Exam Performance
- Always write CF beside table immediately
- Identify median class quickly
- Use ruler for ogive accuracy
- Calculate frequency density in one column
- Sketch histogram outline lightly before final version
- Use smooth curve (not jagged lines) for cumulative frequency
- Label all important points: Q₁, Q₂, Q₃
Checklist for Cumulative Frequency Questions
- CF calculated correctly
- Points plotted at upper boundaries
- Curve starts at (lower boundary, 0)
- Median read from N/2
- IQR computed as Q₃ − Q₁
- Answers rounded appropriately
Checklist for Histogram Questions
- All class widths confirmed
- All frequency densities computed
- Bars touching without gaps
- Area represents frequency
- Axes clearly labelled
- Scale consistent
- Shape interpreted correctly
A* Techniques to Stand Out
- Use interpolation when tables allow
- Double-check boundary accuracy
- Use keywords in written answers
- “Spread”
- “Distribution”
- “Symmetry”
- “Variation”
- Always mention density when intervals unequal
- Use comparative language when comparing groups
Exam Interpretation Skills for Graph Questions
- Identify special points such as:
- Quartiles
- Deciles
- Percentiles
- Estimate values precisely using grid spacing
- Highlight turning points in ogive
- Describe trends using proper terminology
- Connect histogram shape with real-life interpretation
Cross-topic Links
- Coordinate geometry → reading values accurately
- Algebra → interpolation calculations
- Number → fraction simplification
- Probability → distribution interpretation
- Statistics → comparing data sets
A* Habits for Graph Accuracy
- Use sharp pencil
- Align ruler properly
- Re-check plotted points
- Use midpoint checking in histograms
- Compare CF values with final total
- Keep curve smooth and continuous
- Label graphs clearly to avoid confusion
