Big tournament statistics for A Level
A ready-to-teach statistics lesson for the summer term, built on a made-up tournament: a 5-minute starter, a 35-minute main activity on shots and goals, penalty shoot-outs and race times, an extension and full worked answers. All the data are made up for this lesson.
- Level
- A Level Maths (Year 12 and Year 13)
- Time
- 40 minutes, plus a 10-minute extension
- Topics
- Correlation and regression; Hypothesis test for correlation (Year 13); The binomial distribution; The normal distribution (Year 13)
- Equipment
- The starter is non-calculator. A calculator with statistics functions is needed.
Suggested timings
| Part | Time | What |
|---|---|---|
| Starter | 5 min | Quick questions on the board |
| Main: task A | 12 min | Shots and goals |
| Main: task B | 11 min | Penalty shoot-out |
| Main: task C | 12 min | Race times |
| Extension | 10 min | Fast finishers or homework |
Starter (5 minutes)
No calculator.
- Find the mean of 2, 4, 4, 5, 10.
- Ten values have Σx = 146. Find the mean.
- X ~ B(4, ½). Find P(X = 2).
- Z ~ N(0, 1). Write down P(Z < 0).
Main activity (35 minutes)
Task A: Shots and goals (12 min)
Made-up data for ten teams. Shots on target x: 12, 15, 9, 20, 17, 11, 14, 22, 8, 18. Goals y: 4, 5, 2, 8, 6, 3, 5, 9, 2, 6.
- Find the product moment correlation coefficient, to 3 significant figures.
- Find the regression line of y on x, with coefficients to 3 significant figures, and interpret the gradient.
- (Year 13) Test at the 5% level whether there is positive correlation between shots on target and goals. The critical value for n = 10 (one tail, 5%) is 0.5494.
Task B: Penalty shoot-out (11 min)
In a made-up shoot-out, each of team A’s five takers scores with probability 0.8 and each of team B’s with probability 0.7, independently.
- Find the probability that team A scores all 5 penalties, to 3 significant figures.
- Find the probability that team A scores at least 4, to 3 significant figures.
- Each team takes all five penalties. Find the probability that team A scores more than team B, to 3 significant figures.
Task C: Race times (12 min)
(Year 13) Made-up 100 m times are modelled by T ~ N(10.2, 0.152) seconds.
- Find P(T < 10.0), to 3 significant figures.
- Find the time that only the fastest 5% beat, to 3 significant figures.
- Eight sprinters run independently. Find the probability that at least one runs under 10.0 s.
Extension (10 minutes)
Year 13 stretch.
- A coach thinks the mean is 10.2 s but only 10% of times are under 10.0 s. Find the standard deviation this implies, to 3 significant figures.
For teachers
Teacher notes and full worked answers
- Every number in this pack is made up for the lesson; say so when you show it.
- In task A (c), check that students write hypotheses about ρ, the population correlation, not r.
- Task B (c) is a good spreadsheet task: a 6 by 6 table of joint probabilities.
Starter
- 5
- 25 ÷ 5
- 14.6
- 146 ÷ 10
- 3/8
- 4C2 × (½)4 = 6/16 = 3/8
- 0.5
- The distribution is symmetrical about 0.
Task A: Shots and goals
- 0.989
- Calculator: r = 0.98894…
- y = 0.499x − 2.29; about one extra goal for every two extra shots on target
- Calculator: y = 0.49898…x − 2.2851…
- The gradient 0.499 means each extra shot on target goes with about 0.5 extra goals.
- Reject H0: there is evidence of positive correlation
- H0: ρ = 0; H1: ρ > 0.
- 0.989 > 0.5494, so reject H0.
Task B: Penalty shoot-out
- 0.328
- 0.85 = 0.32768
- 0.737
- P(4) + P(5) = 5 × 0.84 × 0.2 + 0.85 = 0.4096 + 0.32768 = 0.73728
- 0.501
- Add P(A = i) × P(B = j) over all i > j, with A ~ B(5, 0.8) and B ~ B(5, 0.7).
- The total is 0.50083…
Task C: Race times
- 0.0912
- Standardise: z = (10.0 − 10.2)/0.15 = −1.333…; P(Z < −1.333…) = 0.0912
- 9.95 s
- z = −1.6449; 10.2 − 1.6449 × 0.15 = 9.953…
- 0.535
- 1 − (1 − 0.0912…)8 = 0.5347…
Extension
- 0.156 s
- P(T < 10.0) = 0.1 gives (10.0 − 10.2)/σ = −1.2816.
- σ = 0.2 ÷ 1.2816 = 0.1561…
The same answers are in the answers PDF. Every answer was recomputed by computer before publishing.
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