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Study Guide: GCSE Maths Statistics and Probability - How to Solve: Box Plots, Cumulative Frequency, and Histograms
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GCSE Maths Statistics and Probability - How to Solve: Box Plots, Cumulative Frequency, and Histograms

By Fatskills Exam Guides Team — the exam nerds behind 28,500+ quizzes and 2.1M practice questions across 500+ global exams.

⏱️ ~5 min read

How to Solve: Box Plots, Cumulative Frequency, and Histograms

GCSE / A-Level (Physics, Chemistry, Biology) – Complete Guide


Introduction

"Mastering box plots, cumulative frequency, and histograms lets you analyse real-world data—like drug trial results, reaction times, or species distributions—and earn up to 12 marks in your GCSE/A-Level exams. One question on these topics can be the difference between a 6 and a 7, or a B and an A!"


WHAT YOU NEED TO KNOW FIRST

Before diving in, make sure you understand: 1. Basic statistics – Mean, median, mode, range, and quartiles. 2. Frequency tables – How to read and construct them. 3. Grouped data – Class intervals and how to find midpoints.

If you’re shaky on any of these, pause and review them first.


KEY TERMS & FORMULAS

Key Terms

Term Definition
Box Plot (Box-and-Whisker Plot) A graph showing the minimum, lower quartile (Q1), median (Q2), upper quartile (Q3), and maximum of a data set.
Cumulative Frequency The running total of frequencies up to a certain value.
Histogram A bar graph where the area (not height) of each bar represents frequency. Bars touch because data is continuous.
Interquartile Range (IQR) Q3 – Q1 (the range of the middle 50% of data).
Outlier A data point 1.5 × IQR above Q3 or below Q1.

Formulas

  1. Median (Q2) Position
  2. Formula: (n + 1) / 2 (where n = number of data points)
  3. MEMORISE THIS – Used to find the median in a list of numbers.

  4. Quartile Positions

  5. Q1 Position: (n + 1) / 4
  6. Q3 Position: 3(n + 1) / 4
  7. MEMORISE THIS – Used to find quartiles in ordered data.

  8. Frequency Density (for Histograms)

  9. Formula: Frequency / Class Width
  10. MEMORISE THIS – Used to calculate bar height in histograms.

  11. Outlier Boundaries

  12. Lower Bound: Q1 – 1.5 × IQR
  13. Upper Bound: Q3 + 1.5 × IQR
  14. MEMORISE THIS – Used to identify outliers in box plots.

STEP-BY-STEP METHOD

How to Draw a Box Plot

Step 1: Order the data from smallest to largest. Step 2: Find the minimum, Q1, median (Q2), Q3, and maximum. Step 3: Draw a number line covering the full range of data. Step 4: Plot the five key points (min, Q1, Q2, Q3, max) above the line. Step 5: Draw a box from Q1 to Q3. Step 6: Draw a vertical line inside the box at the median (Q2). Step 7: Draw "whiskers" from Q1 to the minimum and from Q3 to the maximum. Step 8: Check for outliers (points outside 1.5 × IQR). If present, mark them with a cross and adjust whiskers to the next closest value.


How to Draw a Cumulative Frequency Graph

Step 1: Make a cumulative frequency table (add each frequency to the previous total). Step 2: Plot the upper boundary of each class against its cumulative frequency. Step 3: Join points with a smooth curve or straight lines. Step 4: Use the graph to estimate:
- Median (at 50% of total frequency)
- Quartiles (at 25% and 75% of total frequency)
- Interquartile Range (IQR) = Q3 – Q1


How to Draw a Histogram

Step 1: Calculate class width (upper bound – lower bound). Step 2: Calculate frequency density = Frequency / Class Width. Step 3: Draw a number line covering all class intervals. Step 4: For each class, draw a bar with:
- Width = class width
- Height = frequency density Step 5: Label axes:
- x-axis = class intervals
- y-axis = frequency density


WORKED EXAMPLES

Example 1 – Basic Box Plot

Data: 3, 5, 7, 8, 9, 10, 12, 15 Step 1: Ordered data is already given. Step 2:
- Minimum = 3
- Q1 = 6 (average of 5 and 7)
- Median (Q2) = 8.5 (average of 8 and 9)
- Q3 = 11 (average of 10 and 12)
- Maximum = 15 Step 3-8: Draw the box plot (see diagram). What we did and why: We found the five key points and plotted them to show the spread of data.


Example 2 – Medium Cumulative Frequency Graph

Data Table: | Time (s) | Frequency | Cumulative Frequency | |----------|-----------|----------------------| | 0-10 | 5 | 5 | | 10-20 | 8 | 13 | | 20-30 | 12 | 25 | | 30-40 | 6 | 31 |

Step 1: Cumulative frequencies are already calculated. Step 2: Plot points at (10,5), (20,13), (30,25), (40,31). Step 3: Join with straight lines. Step 4: Estimate median (at 15.5th value) ≈ 22s. What we did and why: We used cumulative frequency to find the median without listing all data.


Example 3 – Exam-Style Histogram

Question: A biologist records plant heights (cm). Draw a histogram. | Height (cm) | Frequency | |-------------|-----------| | 0-10 | 4 | | 10-20 | 12 | | 20-30 | 18 | | 30-50 | 16 |

Step 1: Class widths = 10, 10, 10, 20. Step 2: Frequency densities = 0.4, 1.2, 1.8, 0.8. Step 3-5: Draw bars with correct heights and widths. What we did and why: We adjusted for unequal class widths by using frequency density.


COMMON MISTAKES

Mistake Why It Happens Correct Approach
Forgetting to order data Rushing to plot points. Always sort data first.
Using frequency instead of frequency density in histograms Confusing histograms with bar charts. Divide frequency by class width.
Plotting cumulative frequency at the wrong boundary Using lower bound instead of upper. Always use upper bound.
Drawing box plot whiskers to outliers Not checking outlier boundaries. Adjust whiskers to 1.5 × IQR limits.
Joining histogram bars Thinking bars must touch like bar charts. Only touch if data is continuous.

EXAM TRAPS

Trap How to Spot It How to Avoid It
Unequal class widths in histograms Some bars are wider than others. Use frequency density, not frequency.
Cumulative frequency graph with gaps Data is discrete, not continuous. Join points with straight lines, not curves.
Box plot with missing outliers Data points far from whiskers. Check 1.5 × IQR rule and mark outliers.

1-MINUTE RECAP

"Right, listen up—this is your last-minute checklist. For box plots, remember the five key points: min, Q1, median, Q3, max. For cumulative frequency, plot the upper bound and read off the median at 50%. For histograms, frequency density = frequency ÷ class width—never just plot frequency! Outliers? 1.5 × IQR above Q3 or below Q1. Double-check your axes, label everything, and you’ll smash those 12 marks. Now go ace that exam!"