GCSE Maths Higher

Statistics

10 free practice questions with explanations

PassNova has 10 free GCSE Maths Higher practice questions on Statistics, each with a clear explanation. Practise them in the browser with instant feedback — 100% free, no sign-up, on any device. Updated for 2026.

Sample questions

Statistics: example questions & answers

10 worked examples with answers and explanations below. Practise them in the browser with instant feedback on every answer.

  1. How is the estimated mean of grouped data calculated?

    • AMiddle value of the data
    • BMidpoint × frequency, summed, ÷ total frequency
    • CMost common class
    • DLargest − smallest

    Answer: Estimated mean = Σ(midpoint × frequency) ÷ Σfrequency.

  2. The median is best described as:

    • AThe mean of all values
    • BThe middle value when ordered
    • CThe most common value
    • DThe spread of the data

    Answer: The median is the middle value of an ordered data set.

  3. Which average is most affected by an extreme outlier?

    • AMode
    • BMedian
    • CMean
    • DRange

    Answer: The mean uses every value, so a very large or small outlier pulls it noticeably.

  4. A scatter graph shows points going up from bottom-left to top-right. This is:

    • ANo correlation
    • BPositive correlation
    • CNegative correlation
    • DA pie chart

    Answer: As one variable increases the other increases — that is positive correlation.

  5. The interquartile range (IQR) is calculated as:

    • AUpper quartile − lower quartile
    • BMean − mode
    • CMedian × 2
    • DMaximum − minimum

    Answer: IQR = upper quartile (Q3) − lower quartile (Q1); it measures the spread of the middle 50%.

  6. In a histogram the bar for the class 20 < t ≤ 40 has a frequency density of 1.8. Work out the frequency for that class.

    • A1.8
    • B0.09
    • C72
    • D36

    Answer: Frequency density = frequency ÷ class width, so frequency = frequency density × class width. The class width is 40 − 20 = 20, giving 1.8 × 20 = 36.

  7. A histogram has a bar covering 0 < t ≤ 10 with a frequency density of 3.5, and a bar covering 10 < t ≤ 30 with a frequency density of 1.25. Work out the total frequency for 0 < t ≤ 30.

    • A47.5
    • B60
    • C72.5
    • D4.75

    Answer: The classes have different widths, so each frequency must be found separately: 10 × 3.5 = 35 and 20 × 1.25 = 25, giving a total of 60. Frequency densities cannot simply be added.

  8. A cumulative frequency graph shows the finishing times of 80 runners. Reading from the graph, a cumulative frequency of 20 gives 34 minutes, 40 gives 39 minutes and 60 gives 45 minutes. Work out the interquartile range.

    • A11 minutes
    • B5 minutes
    • C6 minutes
    • D39 minutes

    Answer: With 80 values the lower quartile is read at a cumulative frequency of 20 and the upper quartile at 60, giving 34 and 45 minutes. The interquartile range is 45 − 34 = 11 minutes; the reading at 40 is the median.

  9. A box plot has a minimum of 12, a lower quartile of 19, a median of 26, an upper quartile of 35 and a maximum of 58. Work out the range and the interquartile range.

    • ARange 46, interquartile range 23
    • BRange 39, interquartile range 16
    • CRange 46, interquartile range 16
    • DRange 32, interquartile range 9

    Answer: The range uses the two whisker ends: 58 − 12 = 46. The interquartile range uses the two ends of the box: 35 − 19 = 16, which ignores the extreme values at each end.

  10. For a set of data the lower quartile is 24 and the upper quartile is 40. A value counts as an outlier if it lies more than 1.5 × the interquartile range above the upper quartile. Work out the value at which that upper outlier boundary sits.

    • A56
    • B64
    • C76
    • D100

    Answer: The interquartile range is 40 − 24 = 16, so 1.5 × 16 = 24. Adding that to the upper quartile gives 40 + 24 = 64, and anything above 64 is an outlier.

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