Year 8 · Unit 2 · Lesson 5 · teacher page

Teaching: what happened, out of how many

Students meet the gap between a number they can compute and a number they can only observe. The lesson is about trusting a long run more than a short one, and about not reading patterns into noise.

Statistics and ProbabilityNo calculator

At a glance. One lesson of about 60 minutes. Experimental probability as relative frequency, comparing with theory, the effect of the number of trials, and the “due” fallacy.

Calculator: no calculator. Every count is chosen so that the fraction is a terminating decimal and can be found by hand, so the work is in the meaning of the ratio.

What students will learn

Know

  • Experimental probability is successes divided by trials.
  • It is also called the relative frequency.
  • Combining runs means adding counts, not averaging fractions.

Understand

  • A short run can be far from the theory.
  • More trials tend to settle near the theory, not exactly on it.
  • Past results do not change the next one.

Do

  • Find a relative frequency from a count or a table.
  • Compare experimental and theoretical probability.
  • Judge which of two runs is more reliable.

MYP assessment criteria

Wording paraphrased. What this lesson gives you evidence for, and what to look for:

The one thing to do with the figure

Start at 5 rolls and ask what the line will do before each step to 20, 50, 100. Most students predict that it will head straight for the dashed line. It does not: it overshoots, comes back, and ends close to it.

Then ask: if we ran it again, would the line be the same? (Here, yes, because the run is fixed; a real die would give a different line, with the same settling shape.) The final gap, 0.15 against 0.167, is worth leaving unexplained as a prompt for the “what if” in Lesson 6.

Notice the four sixes in a row, at rolls 14 to 17. That is a streak in a fair run, not a sign of an unfair die.

A possible order

5 minWarm-up, then answers.
10 minHook: Zoe and Mo. Take a vote, then ask what evidence each would need.
15 minThe figure; the key idea in their own words.
10 minWorked examples; the spinner in pairs.
5 minQuestion 1, the check.
10 minYour turn, Levels 1 to 3.
5 minExit ticket, question 9.

The answers

Warm-up2/5; 0.4; 30.
Worked examplesPin: 0.36. Coin: 0.46, difference 0.04.
Faded example0.35 and 35%.
1. Relative frequencyB, 7/20. C gives the theoretical probability, not the experimental one.
2. Decimal from a count0.4 = 10/25.
3. Percentage from a count15 (15%).
4. From a frequency table0.24 = 12/50.
5. Experiment against theory0.05.
6. No memoryA. C is the “due” slip from the hook; D reads a short run as a fact about the die.
7. Planning more trials8 heads.
8. Combining runs0.38 = 38/100.
9. Which estimate to trustB. Group B's run is 20 times longer.

What each wrong answer tells you

They giveWhat it usually meansWhat to do
10 or 2.5 in question 2Gave the count, or inverted the fraction.Ask “out of how many?” and have them say the fraction before dividing.
0.15 or 85 in question 3Left it as a decimal, or gave the complement.Read the last words of the question together.
0.6 in question 4Compared blue with green only.Cover the colours: how many spins altogether?
3 in question 5Subtracted counts instead of probabilities.Ask: is the question about counts or about probabilities?
1/2 or “more than 1/6” in question 6Treated six and not six as equally likely, or thought a six was due.Roll a real die: does it know what came before?
0.425 in question 8Averaged two relative frequencies from runs of different length.Ask for the counts: how many events in each run?

Questions worth asking

Differentiation

A way in for anyone stuck

Stretch

Students learning in English as an additional language

Pair each word with a motion: a thumb up for “happened”, an open hand for “out of how many”.

WordPlain meaningExample
experimental probabilityhow often something happened out of the trials7 heads in 20 tosses is 7/20
relative frequencyanother name for experimental probability0.35
trialone go at the experimentone roll of the die
theoretical probabilitythe probability worked out from equally likely outcomes1/6 for a six
fairwith no outcome favoured over any othera fair die

Sentence starters for explaining aloud or in writing:

Two things not to say

“It should even out.” That sounds like a promise that the next rolls will make up the difference. Say “the relative frequency tends to settle”.

“The experiment is wrong.” An experiment cannot be wrong; it can be short. Ask what a longer one might show.

Questions to set

Extra practice in three tiers, including one question from earlier work for spacing. Every answer has been checked.

1Fluency

The idea on its own, with friendly numbers. Set these first.

  1. Relative frequencyA seed germinated in 17 of 20 trials. What is the experimental probability?
    17/20 = 0.85.
  2. PercentageA goal was scored from 8 of 40 shots. What is the experimental probability as a percentage?
    20%.

2In context

The same idea inside a situation, where the first job is deciding what to calculate.

  1. ComparisonA die shows a six 30 times in 150 rolls. What is the difference from 1/6?
    30/150 = 0.2; 1/6 ≈ 0.167, so about 0.033 above.
  2. Earlier work (theory)A card is picked from 1 to 25. What is P(multiple of 5)?
    5/25 = 1/5.

3Challenge

Reasoning, generalizing and working backwards.

  1. Planning9 heads in 20 tosses. How many heads are needed in the next 30 tosses for exactly 0.5 overall?
    16.
  2. ReliabilityA shop says its machine fills a cup correctly 90% of the time, from 10 tests. Why might you want more tests?
    10 tests is a short run, so the estimate can be far from the truth.

Practicalities

Works on a phone or a shared screen. Nothing a student types is saved or sent anywhere.

The slider works with the keyboard and by touch; “Show me the steps” gives four cases in words.

On paper: a tally chart from a real class experiment does the same job as the figure.