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GCSE/Mathematics/OCR

S4Compare distributions; measures of central tendency and spread

Notes

Measures of central tendency and spread

Statistics questions appear on every OCR J560 paper. Higher-tier extends to estimated mean from grouped data, interquartile range from cumulative frequency, and comparing two distributions using both a measure of average and a measure of spread.

Measures of central tendency

Mean

Mean = Sum of all values ÷ Number of values

Mean is affected by outliers (extreme values).

Example: 3, 7, 7, 8, 10, 11, 14. Mean = (3+7+7+8+10+11+14)/7 = 60/7 ≈ 8.57.

Median

The middle value when data is ordered. For n values:

  • Odd n: median is the ((n+1)/2)th value.
  • Even n: median is the mean of the (n/2)th and (n/2+1)th values.

Example: 3, 7, 7, 8, 10, 11, 14. n=7 → 4th value → median = 8.

Median is resistant to outliers.

Mode

The most frequent value. There can be more than one mode, or no mode.

Example: 3, 7, 7, 8, 10, 11, 14. Mode = 7.

Mean from a frequency table

Mean = Σ(fx) / Σf where f = frequency, x = data value (or midpoint for grouped data).

Example:

Score xFrequency ffx
236
4520
6212
Total1038

Mean = 38/10 = 3.8.

Estimated mean from grouped data

Use the midpoint of each class as x.

ClassMidpoint xFrequency ffx
0–105420
10–20158120
20–3025375
Total15215

Estimated mean = 215/15 ≈ 14.3.

Note: this is an ESTIMATE because we assume all data in a class is at the midpoint.

Measures of spread

Range

Range = Maximum − Minimum. Simple but affected by outliers.

Interquartile range (IQR)

IQR = Q3 − Q1. Measures spread of the middle 50% of data. More robust than range.

Standard deviation (Higher, calculator)

Measures average distance of each value from the mean. Larger SD = more spread.

Comparing distributions

To compare two distributions, always comment on both:

  1. A measure of average (mean or median): "Distribution A has a higher mean, so on average..."
  2. A measure of spread (range, IQR): "Distribution A has a larger IQR, so the data is more spread out / less consistent."

OCR mark schemes require a comparison in context — reference what the numbers represent.

Common OCR exam mistakes

  1. Using midpoints incorrectly: 0–10 midpoint is 5 (not 10 or 0).
  2. Confusing mean and median — always state which you're using.
  3. For comparison questions: not referencing context ("students scored higher on average" is better than just "the mean is higher").
  4. Finding median with even n: averaging only one value instead of two.

AI-generated · claude-opus-4-7 · v3-ocr-maths

Practice questions

Try each before peeking at the worked solution.

  1. Question 16 marks

    Mean, median, mode

    Find the mean, median and mode for the data set: 5, 3, 8, 3, 9, 6, 3, 10.

    Ask AI about this

    AI-generated · claude-opus-4-7 · v3-ocr-maths

  2. Question 23 marks

    Mean from a frequency table

    The table shows marks scored in a test by 20 students.

    MarkFrequency
    12
    25
    37
    44
    52

    Calculate the mean mark. [3 marks]

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    AI-generated · claude-opus-4-7 · v3-ocr-maths

  3. Question 34 marks

    Estimated mean from grouped data

    The times taken by 30 runners to complete a 5 km race are shown.

    Time t (min)Frequency
    20 ≤ t < 254
    25 ≤ t < 3011
    30 ≤ t < 3510
    35 ≤ t < 405

    Calculate an estimate of the mean time. [4 marks]

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    AI-generated · claude-opus-4-7 · v3-ocr-maths

  4. Question 43 marks

    Comparing two distributions

    The heights (cm) of plants in two groups A and B are summarised below.

    Group A: mean = 18.4 cm, IQR = 6.2 cm.
    Group B: mean = 22.1 cm, IQR = 3.8 cm.

    Compare the two distributions fully. [3 marks]

    Ask AI about this

    AI-generated · claude-opus-4-7 · v3-ocr-maths

Flashcards

S4 — Compare distributions; measures of central tendency and spread

10-card SR deck for OCR Mathematics (J560) topic S4

10 cards · spaced repetition (SM-2)