Year 10ProbabilityYear 10 Maths

Experimental and theoretical probability

What this lesson covers

  • Some chance-based situations, such as tossing a non-regular 3D shape, can only be explored through probability experiments.
  • Results from sets of repeated trials for the same experiment may vary.
  • The Law of Large Numbers states that as the number of trials in a chance experiment increases, the experimental probability will approach the experiment’s theoretical probability.
  • Lists, tables, two-way tables, and tree diagrams are useful systematic methods for generating all possible outcomes.
Key idea

Two ways to find a probability

  • Count the possible outcomes and work out the fraction.
  • Or do it a lot of times and count what happened.
  • Theoretical and experimental. They are not rivals.
KindMethodNeeds
Theoreticalcount the possible outcomesneeds symmetry
Experimentalcount what actually happenedneeds trials
A fair dieboth workand should agree
A drawing pinonly the second
Worked example

Counting outcomes

  • A spinner: half red, a quarter blue, a quarter yellow.
  • The probabilities are the fractions of the circle.
  • This works because the sectors are what they are measured on.
Counting outcomes
Key idea

But counting needs the outcomes to be equal

  • A die has six faces and no face is favoured. Fine.
  • A spinner is measured in degrees. Also fine.
  • Take that away and counting stops working.
Worked example

A drawing pin

  • Drop one. It lands point up, or point down. Two outcomes.
  • So the probability is a half? No. Look at the shape of it.
  • There is no theoretical answer here. Nobody knows it.
ReasoningProblem
A drawing pinlands point up or point down
Two outcomesso is it a half?
No: the shape is not symmetricnothing says they are equal
The only way to find outis to drop a lot of pins
Key idea

Which makes the experiment the whole answer

  • Drop a lot of pins and count. That is the probability.
  • Not an estimate of some real value hidden somewhere.
  • For a pin, the experiment is the only route there is.
Worked example

Do it twice and you get two answers

  • Roll a die thirty times. You expect five sixes.
  • You get three. Do it again, you get eight.
  • Neither set is wrong. Repeated trials vary.
Trial setSixesProportion
30 rolls of a dieexpect 5 sixes
First set3 sixes0.10
Second set8 sixes0.27
Neither is wrongthat is variation
Key idea

The Law of Large Numbers

  • The more trials you do, the closer the proportion gets.
  • Thirty rolls can be well off. Three thousand will be close.
  • It is a statement about the proportion, and nothing else.
TrialsWhat happens
More trialsthe proportion settles down
30 trialscan be well off
3 000 trialswill be close
It is about the proportionnever about the next roll
Key idea

What it definitely does not say

  • Five tails in a row does not make heads due.
  • The coin has no memory. The next toss is still a half.
  • Early results get swamped by later ones. Nothing corrects them.
BeliefReality
"Five tails, so heads is due"no
The coin has no memorythe next toss is still a half
The proportion settlesby being swamped, not corrected
That beliefis how people lose money
Key idea

Listing every outcome

  • To count outcomes you have to find all of them first.
  • Missing one, or counting one twice, ruins everything after.
  • So do it systematically, not by thinking hard.
Worked example

Two dice, in a table

  • Six outcomes on the first, six on the second. Thirty-six pairs.
  • A table with the first die down and the second across finds them all.
  • A total of seven happens six ways out of thirty-six.
PartCountResult
First die6 outcomes
Second die6 outcomes
Together6 × 636
Total of 71+6 2+5 3+4 and back6 of them
Worked example

Two coins, in a tree

  • A tree does the stages in order, branching at each one.
  • Two branches, then two more from each. Four outcomes.
  • Reading down a path gives you one complete outcome.
Two coins, in a tree
Key idea

Why the numbers multiply

  • Every outcome of the first stage meets every one of the second.
  • So three shirts and four trousers is twelve outfits, not seven.
  • Multiply the stages together. Never add them.
SituationWorkingOutcomes
3 shirts, 4 trousers3 × 412 outfits
2 coins2 × 24 outcomes
3 coins2 × 2 × 28 outcomes
Multiply the stagesnever add them
Key idea

Which tool to reach for

  • Few outcomes and one stage: a plain list is fine.
  • Exactly two things at once: a two-way table.
  • Several stages in order: a tree. All three do the same job.
ToolWhen
A short listfew outcomes, one stage
A two-way tableexactly two things at once
A tree diagramseveral stages in order
All three do one jobevery outcome, exactly once
Worked example

Putting the two kinds side by side

  • Theoretical probability of a six: one sixth, or 0.167.
  • Thirty rolls gave 0.267, which is a long way off.
  • Three thousand rolls gave 0.171. Closer, because there were more.
SourceResultValue
Theoretical P(six)1 ÷ 60.167
After 30 rolls8 sixes0.267
After 3 000 rolls512 sixes0.171
Closerbecause there were more
Summary

What to take away

  • Seven lines, and the sixth costs people money.
Theoretical probabilitycounts outcomes, needs symmetry
Experimental probabilitycounts results, works on anything
Some thingshave no theoretical value at all
Sets of trials varyand that is expected
More trialsbrings the proportion closer
Nothing is ever "due"the die has no memory
Count stagesby multiplying them
Your turn

Your turn: four questions

  • Pause here and answer all four.
  • Question 1 wants both numbers.
  • Question 3 wants a reason, not just a yes or no.
Question
1Two dice. How many outcomes give 7?
2Why has a drawing pin no theoretical value?
38 sixes in 30 rolls. Is the die biased?
4Half red, quarter blue, quarter yellow. P(not red)?
Show answer

1. Thirty-six outcomes altogether, and six of them total seven: one and six, two and five, three and four, and those three again the other way round. So the probability is six over thirty-six, which is one sixth. 2. Because its two outcomes are not equally likely and nothing about its shape tells you how unequal they are. Counting outcomes only works when they are symmetric, so the pin has to be dropped. 3. Not necessarily. You would expect five, and eight is within the ordinary variation of thirty trials. To find out, roll it a few thousand times. 4. One half. Blue and yellow are a quarter each and they cannot both happen, so they add.

Worked example

The answers

  • Thirty-six outcomes, six of which total seven.
  • Its outcomes are not equally likely and nothing says by how much.
  • Not necessarily. Thirty rolls is far too few to tell.
  • A half: a quarter and a quarter, added.

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