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Eduqas GCSE Maths · Statistics
Mini-Lesson

Statistics

This mini-lesson covers the Statistics strand of Eduqas GCSE Maths: the averages (mean, median, mode & range), frequency tables, grouped data & estimated mean, cumulative frequency, box plots, scatter graphs & correlation, and sampling.

A B C D frequency
Statistics is about turning a pile of data into a single clear picture — an average, a chart, a trend.

Work through each screen, answer the questions as you go (most are calculations) and collect ⭐ stars. Press Start when you're ready.

Averages & range

Mean, median, mode & range

Four ways to summarise a list of numbers. Learn exactly what each one does:

mean = total ÷ how manymedian = middle value (sort first!) · mode = most common · range = biggest − smallest
Worked example — all four

Data: 3, 7, 2, 9, 5, 2

Mean = (3+7+2+9+5+2) ÷ 6 = 28 ÷ 6 = 4.67 (2 d.p.)

Sorted: 2, 2, 3, 5, 7, 9 → median = (3+5)÷2 = 4

Mode = 2 (appears twice)  ·  Range = 9 − 2 = 7

Common slip: you must sort the list before taking the median. For an even number of values the median is the mean of the middle two.

Calculate

Your turn — the mean

1Find the mean of 4, 8, 6, 2.
Hint: add them (4+8+6+2 = 20), then divide by how many there are (÷ 4).
Calculate

Your turn — the median

2Find the median of 3, 7, 2, 9, 5.
Hint: sort first → 2, 3, 5, 7, 9. The middle of five values is the 3rd one.
Quick check

Median of an even list

?What is the median of 4, 6, 8, 10?
Calculate

Your turn — the range

3Find the range of 12, 4, 9.
Hint: range = biggest − smallest = 12 − 4.
Frequency tables

Mean from a frequency table

When data is grouped in a frequency table, add an f × x column, total it, then divide by the total frequency:

mean = Σfx ÷ ΣfΣfx = add up (frequency × value) · Σf = total number of items
Worked example

Number of goals per match:

1 goal × 4 matches, 2 goals × 6 matches, 3 goals × 10 matches.

Σf = 4 + 6 + 10 = 20 matches

Σfx = (1×4) + (2×6) + (3×10) = 4 + 12 + 30 = 46 goals

Mean = 46 ÷ 20 = 2.3 goals

Common slip: divide by Σf (the total frequency, here 20) — not by the number of rows in the table (which is only 3).

Calculate

Your turn — mean from a frequency table

4Pupils were asked how many pets they own. 0 pets: 4 pupils, 1 pet: 6 pupils, 2 pets: 10 pupils. Find the mean number of pets.
Hint: Σf = 4+6+10 = 20. Σfx = (0×4)+(1×6)+(2×10) = 0+6+20 = 26. Mean = 26 ÷ 20.
Grouped data

Estimated mean from grouped data

When data is in class intervals you don't know the exact values, so you use the midpoint of each class as a stand-in. This gives an estimate:

estimated mean = Σ(f × midpoint) ÷ Σfmidpoint = (lower boundary + upper boundary) ÷ 2
Worked example — heights (cm)

0–10 (midpoint 5): 4 plants · 10–20 (midpoint 15): 6 plants · 20–30 (midpoint 25): 10 plants.

Σf = 4 + 6 + 10 = 20

Σ(f×mid) = (5×4) + (15×6) + (25×10) = 20 + 90 + 250 = 360

Estimated mean = 360 ÷ 20 = 18 cm

Why "estimated"? You don't have the real values inside each class, only the midpoint, so the answer is an approximation — not the exact mean.

Calculate

Your turn — estimated mean

5Times (mins) to finish a puzzle: 0–10 (midpoint 5): 4 people · 10–20 (midpoint 15): 6 people · 20–30 (midpoint 25): 10 people. Find the estimated mean time.
mins
Hint: Σf = 20. Σ(f×mid) = (5×4)+(15×6)+(25×10) = 20+90+250 = 360. Then 360 ÷ 20.
Match game

Data set ⇄ its average

Tap a calculation on the left, then its correct answer on the right. Work each one out in your head first.

Cumulative frequency

Cumulative frequency & quartiles

Cumulative frequency is a running total of the frequencies. Plot it against the upper boundary of each class and join with a smooth curve. Then read across from key fractions of the total:

median at ½n · LQ at ¼n · UQ at ¾nread up to the curve, then down to the value axis
½n median cum. freq. value →
To find the median, go up to ½ of the total on the y-axis, across to the curve, then down.

Interquartile range (IQR) = UQ − LQ. It measures the spread of the middle 50% of the data and ignores extreme values.

Box plots

Box plots (box-and-whisker)

A box plot shows five numbers: the minimum, lower quartile (LQ), median, upper quartile (UQ) and maximum. The box spans LQ to UQ; the whiskers reach out to the min and max:

4 12 18 28 36 min LQ median UQ max
Min = 4, LQ = 12, median = 18, UQ = 28, max = 36. IQR = UQ − LQ = 28 − 12 = 16.

Reading a box plot: the box width is the IQR (spread of the middle half); the whole length min→max is the range.

Calculate

Your turn — interquartile range

6From the box plot above, the lower quartile is 12 and the upper quartile is 28. Find the interquartile range (IQR).
Hint: IQR = UQ − LQ = 28 − 12.
Scatter graphs

Scatter graphs & correlation

A scatter graph plots two variables against each other to see if they are linked. The pattern is called correlation:

  • Positive correlation — as one goes up, the other goes up (points slope up ↗).
  • Negative correlation — as one goes up, the other goes down (points slope down ↘).
  • No correlation — points are scattered with no clear trend.
line of best fit hours revised → test score
Points slope upwardspositive correlation: more revision, higher score. The straight line of best fit lets you predict.

Correlation ≠ cause: a correlation shows two things move together, but it does not prove one causes the other.

Quick check

Name the correlation

?A graph plots a car's age against its value. As age increases, value falls. What type of correlation is this?
Sort it

Positive or negative correlation?

For each pair of variables, decide whether they show positive correlation (both rise together) or negative correlation (one rises as the other falls). Tap a card, then tap the box.

↗ Positive

↘ Negative

Sampling

Sampling

It's often impractical to survey a whole population, so we take a sample. A good sample must be representative and free of bias:

  • Random sample — everyone has an equal chance of being chosen (e.g. names from a hat).
  • Stratified sample — split the population into groups (strata) and sample each in proportion to its size.
  • Bias — anything that makes some members more likely to be picked, making the sample unrepresentative.
Worked example — stratified sample

A school has 600 pupils: 360 girls and 240 boys. A stratified sample of 50 is taken.

Fraction sampled = 50 ÷ 600 = 1/12

Girls: 360 × 1/12 = 30  ·  Boys: 240 × 1/12 = 20  (total 50 ✓)

Watch for bias: surveying only your friends, or only people outside a gym about exercise, gives a biased, unrepresentative sample.

Quick check

Spot the bias

?To find how often people in a town exercise, which sample is least biased?
Calculate

Your turn — stratified sample

7A college has 800 students. A stratified sample of 40 is taken. There are 300 Year 12 students. How many Year 12 students should be in the sample?
Hint: fraction sampled = 40 ÷ 800 = 1/20. Then 300 × 1/20 = 300 ÷ 20.
Quick check

Which average?

?Which average is the most common value in a data set?
Recap

The whole Statistics strand

Averages: mean = total ÷ count; median = middle (sort first!); mode = most common; range = biggest − smallest.

Frequency tables: mean = Σfx ÷ Σf — divide by the total frequency, not the number of rows.

Grouped data: estimated mean = Σ(f × midpoint) ÷ Σf.

Cumulative frequency: running total; read median at ½n, LQ at ¼n, UQ at ¾n. IQR = UQ − LQ.

Box plots: min, LQ, median, UQ, max; box width = IQR.

Scatter graphs: positive / negative / no correlation; line of best fit predicts.

Sampling: random & stratified samples; a good sample is representative and avoids bias.

You've covered every sub-topic in the Eduqas GCSE Maths Statistics strand — from the four averages to box plots, correlation and sampling. Press Finish to see your score.

🏆

Mini-lesson complete!

⭐⭐⭐

You've worked through the Statistics strand for Eduqas GCSE Maths. 🎉

Your stars: 0 / 0

Next: test yourself in the Evaluate stage Confidence Quiz, then lock it in with Verify.

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