
Two 6th classes sat the same spelling test out of 25. Both classes had a mean score of 15. So did the two classes really do the same? Or could a single number be hiding a very different story?
Take two or three hands-up answers, not open call-outs. Do not settle the question yet — the point is to plant doubt about whether one number (the mean) tells the whole story. Give five seconds of quiet think-time before any hands go up.
Here are the two classes' spelling test scores.
Both sets have a mean of 15. Look at how far apart the lowest and highest scores are in each set. That gap is the range (the distance from the lowest to the highest score).
Point at the two dot plots in turn. Both share a mean of 15, so the mean line lands in the same spot on both. Ask the class to look instead at how stretched out each set is. Revoice a strong answer: so the middle is the same, but one class is all bunched up and the other is scattered. Hold the word spread until a pupil offers it, then name it. Do not narrate the second dot plot before pupils have looked — let them spot the difference.
Now we compare three fresh pairs of data sets, not the two classes. Each pair is shown as two plots so we can read both at once:
For each comparison, read off the mean and the range of both plots, then say which set is more consistent and which is more spread out.
Walk the class through the six snapshots in order; take the mean and range aloud from each plot before asking for the comparison sentence. This is a teacher-led look at the board, not pupil board turns.
In your maths copy, record the mean of the Class A and Class B scores from Watch and Notice. Note which set is more spread out. Then write one inference sentence backed by a number, for example: Class A is more consistent because its range is only …, while Class B's range is ….
Walk the room glancing that each inference sentence names an actual number, not just "more" or "less" — this is whole-class copybook practice, not marking. Prompt any pupil who writes only a mean to add the range too.
We run a real class survey and compare two groups from it. Choose a question the class can answer quickly, such as how many minutes each of us spent on homework last night, or the height of two teams. We split the answers into two groups, enter each group, and read the mean and range. Then we make a claim about the two groups and back it up with at least two numbers.
Could the group with the lower mean still be called the better one? A hook: a group whose scores are all close to typical can be more reliable even if its mean is lower.
This is the practice round — pupils take turns at the board, check each answer, and the class confirms before moving on. Keep the board work brisk rather than over-explaining.
Collect a quick raw data set from the class first (a show of hands or a fast round-the-room count), then split it into two sensible groups. As pupils take turns entering each group and reading the overlay, insist every claim carries a number: Group 1 is more consistent because its range is 6 and Group 2's range is 18. For the stretch, revoice: a lower mean but a smaller spread means every value is closer to typical — sometimes that is exactly what you want.
If the live data does not throw up a lower-mean/smaller-spread group, use this prepared pair: Group 1 = 11, 12, 12, 13 (mean 12, range 2) and Group 2 = 8, 12, 16, 20 (mean 14, range 12). Group 1 has the lower mean but is far more consistent, so it can be argued the better one.
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