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Grades 8–11 · CAPS · Gr 8 Term 4 — Probability

Grade 8 Probability

Listing outcomes, finding probabilities, and comparing them with relative frequency.

Gr 8 Term 4 — ProbabilityTerm 4

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What gets asked

You must be able to

Traps that cost marks

Worked example

A bag has 3 red, 4 blue and 5 green sweets. Find the probability of picking a blue sweet.
  1. Total sweets .
  2. Blue sweets .
  3. .

Outcomes and relative frequency

Listing everything that can happen, saying how likely each one is, and checking that against a real try.

outcome
One of the things that can happen. Drawing a red sweet is one outcome.
trial
One go: one toss of a coin, or one draw from a bag.
probability
How likely an outcome is, written as a fraction from to .
equally likely
Every outcome has the same chance, as on a fair coin or a fair die.
relative frequency
How many times the outcome really happened, divided by the number of trials.

Start by listing every outcome, one by one. A bag holding red and blue sweets has outcomes, not . Two sweets of one colour are still two separate outcomes.

Probability counts ways. Put the number of ways your outcome can happen over the total number of outcomes. It runs from , meaning impossible, up to , meaning certain.

This year every situation has outcomes that are equally likely. A fair coin, a fair die and a well-mixed bag all behave that way, so counting the items is enough.

To predict, multiply the probability by the number of trials. A probability of over trials predicts about . You are predicting a number of draws, not a fraction.

The relative frequency is what really happened. It seldom lands exactly on the probability, and a small gap proves nothing about fairness. The more trials you do, the closer it usually comes.

Rules to remember

  • P(outcome)
  • predicted number probability number of trials

Examples

A bag holds red, blue and green sweets. Find the probability of drawing a blue one.
Worked answer
  1. Count every sweet: .
  2. Each sweet is one outcome, even two greens that look alike.
  3. Four of those twelve outcomes are blue.
  4. P(blue) .

Answer:

The total goes underneath. Blue over the other eight sweets would be wrong.

A sweet is drawn from that bag and put back, times over. How many blues should you expect?
Worked answer
  1. The probability of blue is .
  2. Multiply it by the number of trials: .
  3. So about of the draws should be blue.

Answer: about blues

Red is less likely than blue, so the three colours will not come up equally often.

In those draws blue actually came up times. Is the bag unfair?
Worked answer
  1. Relative frequency of blue: .
  2. The probability was .
  3. You expected and got , so .
  4. A gap of in trials turns up easily by chance.

Answer: no, a gap that small is ordinary

Doing draws instead would usually bring the relative frequency nearer.

Traps

  • Treating identical-looking items in a bag as a single outcome. Each item is a separate outcome, even if two look the same.
  • Writing a probability as favourable outcomes over the outcomes that did not happen. A probability is always favourable outcomes over the total number of outcomes.
  • Predicting that every outcome will happen exactly the same number of times. Scale each outcome by its own probability. A more likely outcome should happen more often.
  • Deciding a coin or die is unfair as soon as one result differs from the expected probability. A small number of trials can differ from the probability just by chance. That does not mean it is unfair.

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About this material

This platform provides original CAPS-aligned practice material and study tools. Content is machine-verified and has not been reviewed by subject specialists. It is not affiliated with or endorsed by the Department of Basic Education. Learners should also use official past papers and consult their teachers where uncertain.