8.2 Relative and Expected Frequencies


2026 Syllabus Objectives

By the end of these notes, you will be able to:

  1. Understand what relative frequency is and how it works as an estimate of probability.
  2. Calculate expected frequencies using probability.
  3. Understand the meaning of the terms fair, biased, and random, and apply them in context.

1. What Is Probability? (A Quick Reminder)

Probability is a number that tells you how likely something is to happen. It is always a value between 0 and 1:

  • 0 means the event is impossible (it will never happen).
  • 1 means the event is certain (it will always happen).
  • Values in between show how likely the event is — the closer to 1, the more likely.

For example, if you flip a fair coin, the probability of getting heads is 0.5 (or ½), because heads is equally as likely as tails.


2. Theoretical Probability vs. Experimental Probability

There are two ways to find a probability:

Theoretical probability — This is what you expect to happen based on equally likely outcomes. You calculate it using a formula, without doing any experiment.

Formula: P(event) = (Number of favourable outcomes) ÷ (Total number of possible outcomes)

For example, a spinner has 5 equal sections numbered 1 to 5. The theoretical probability of landing on 3 is 1 ÷ 5 = 0.2.

Experimental probability — This is what you observe actually happening when you carry out a real experiment or trial. It is also called relative frequency.


3. Relative Frequency — Probability from Experiments

When you actually carry out an experiment (like spinning a spinner, rolling a dice, or flipping a coin), you record the results. The relative frequency of an outcome is calculated from those real results.

Formula: Relative Frequency = Number of times the outcome occurred ÷ Total number of trials

Relative frequency is your best estimate of the true probability when you cannot work it out theoretically (for example, if you don't know whether a spinner is fair or biased).

Example 1 — Spinner Experiment

A student spins a spinner 50 times. The spinner lands on red 18 times.

  • Relative frequency of red = 18 ÷ 50 = 0.36

This means we estimate the probability of landing on red is 0.36.

If the spinner were fair and had, say, 4 equal sections, the theoretical probability of red would be 0.25. Since 0.36 ≠ 0.25, this could suggest the spinner is biased towards red (more on this below).

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