Skip to content
Marlbridge

Practice Questions

IGCSE Mathematics: Statistics — Practice Questions

Original exam-style practice questions with full worked answers on classifying and interpreting data, averages, range, charts, scatter diagrams, cumulative frequency and histograms for Cambridge IGCSE Mathematics 0580.

Subject
Mathematics
Level
IGCSE
Topic
Statistics
Updated

Aligned to Cambridge IGCSE Mathematics (0580), For examination in 2025, 2026 and 2027. Official specification .

Found an error? Report a correction.

These are original questions written for Marlbridge, in the style and at the standard of the examination. They are not reproduced past-paper questions — examination boards hold copyright in their own papers. Use these alongside the official past papers available free from your board.


Questions

1. State whether each of these is discrete or continuous data: (a) the number of siblings each student in a class has; (b) the height of each student in a class. [2]

2. A survey records the number of pets owned by 30 households, presented as a bar chart. Explain one advantage and one disadvantage of presenting this data as a bar chart rather than as a simple list. [2]

3. The number of goals scored by a football team in 6 matches is: 4, 7, 7, 9, 12, 15.

(a) Calculate the mean. [2] (b) Find the median. [1] (c) State the mode. [1] (d) Calculate the range. [1]

4. A pie chart is used to show how 120 students travel to school. The “walk” sector has an angle of 90°. Calculate the number of students who walk to school. [2]

5. A scatter diagram plots students’ scores in a maths test against their scores in a science test, showing a positive correlation.

(a) State what “positive correlation” means in this context. [1] (b) A line of best fit is drawn. Explain how it could be used to estimate a science score for a student who scored 65 in the maths test but was absent for the science test. [1]

6. (Extended) The table shows the ages of 50 people at an event.

Age (years) 0–10 10–20 20–30 30–40 40–50
Frequency 4 10 16 14 6

(a) Calculate the cumulative frequency for each class, and state the cumulative frequency for “age < 30”. [2] (b) Use interpolation within the class to estimate the median age. [2]

7. (Extended) In a histogram, one bar represents a class with width 5 and frequency 15. Calculate the frequency density for this bar. [2]


Answers

1. (a) Discrete — it can only take whole-number values [1]. (b) Continuous — it can take any value within a range [1].

2. Advantage: a bar chart makes the overall pattern easy to see at a glance [1]. Disadvantage: exact individual values can be harder to read precisely than from a list, especially between grid lines [1]. (Any other valid, opposite pair of points should be credited.)

3. (a) Mean = (4 + 7 + 7 + 9 + 12 + 15) ÷ 6 = 54 ÷ 6 [1] = 9 [1]. (b) Ordered: 4, 7, 7, 9, 12, 15 — the middle two values are 7 and 9, so median = (7 + 9) ÷ 2 = 8 [1]. (c) 7 — it appears most often [1]. (d) Range = 15 − 4 = 11 [1].

4. Fraction walking = 90° ÷ 360° = ¼ [1]. Number walking = ¼ × 120 = 30 students [1].

5. (a) As one variable increases, the other also tends to increase [1]. (b) Find 65 on the maths-score axis, go up to the line of best fit, then across to the science-score axis to read off the estimated science score [1].

6. (a) Cumulative frequencies: 4, 14, 30, 44, 50 [1]. Cumulative frequency for age < 30 is 30 [1]. (b) The median is the 25th value (of 50). This falls in the 20–30 class, where the cumulative frequency reaches 14 at age 20 and 30 at age 30 [1]. Estimated median = 20 + ((25 − 14) ÷ 16) × 10 = 20 + 6.9 = 26.9 years (3 s.f.) [1].

7. Frequency density = frequency ÷ class width = 15 ÷ 5 = 3 [2].


Where marks are usually lost

  • Calling data “discrete” or “continuous” based on how it is displayed rather than what it actually measures — a count is always discrete, a measurement is always continuous, whatever the scale used.
  • Forgetting to order the data before finding the median, or taking the middle position number as the median instead of the value at that position.
  • Confusing mode (most frequent value) with median (middle value) and mean (average) — all three are asked for separately and are rarely equal.
  • In a pie chart question, using the angle as if it were the answer itself, rather than converting the angle to a fraction of 360° first.
  • Describing correlation as “one causes the other” — correlation only describes a pattern in the data, not a cause-and-effect relationship.
  • On a histogram, plotting frequency directly on the y-axis instead of frequency density (frequency ÷ class width) — a histogram’s vertical axis is frequency density whether or not the class widths happen to be equal, which is what makes a histogram meaningfully different from a categorical bar chart. The distinction becomes especially important, and the two axes give visibly different-shaped bars, once the class widths are unequal.

Examiner report insight

  • When reading a value (e.g. the median) from a stem-and-leaf diagram, record the full value – stem and leaf together – not just the leaf digit found in the middle row.
  • If a question adds a constant to every data value, update both the mode and the median by that constant, not just one of them (the range stays unchanged either way).
  • When reading an interquartile range from a cumulative frequency graph, record both quartile readings as working before subtracting – giving only the final difference, with no readings shown, risks losing the method mark even with a correct final answer.

Source: Cambridge International, 0580 Mathematics Principal Examiner Report, June 2024 series, Papers 12, 22, 23, 31 (verified 2026-09-02).

Related resources

Related articles

Working through Mathematics? Tutoring covers the same material with a teacher.

Find Learning Support