Theoretical vs Experimental Probability

Theoretical probability is calculated using known outcomes, while experimental probability is based on results from trials. It builds on basic probability and connects directly to relative frequency.

Overview

Theoretical probability is based on all possible equally likely outcomes.

Experimental probability is based on actual results from an experiment.

The two values can be different, especially when the number of trials is small.

With many trials, the experimental probability often gets closer to the theoretical probability.

What you should understand after this topic

  • Understand the difference between theoretical and experimental probability
  • Calculate theoretical and experimental probability
  • Understand why they do not always match exactly
  • Understand why larger sample sizes matter
  • Compare expected and actual results

Theoretical probability

\( \frac{\text{favourable outcomes}}{\text{total possible outcomes}} \)

Experimental probability

\( \frac{\text{times event happened}}{\text{number of trials}} \)

Key Definitions

Theoretical Probability

A probability based on what should happen from known possible outcomes.

Experimental Probability

A probability based on actual experiment results.

Relative Frequency

Another name for experimental probability.

Trial

One repeat of an experiment.

Outcome

A result of an experiment.

Sample Size

The number of trials carried out.

Key Rules

Theoretical formula

\( \frac{\text{favourable}}{\text{possible}} \)

Experimental formula

\( \frac{\text{frequency}}{\text{trials}} \)

Small samples

Can give results quite different from theory.

Large samples

Usually give results closer to theoretical probability.

Quick Comparison

Theoretical

Use when predicting what should happen.

Experimental

Use when analysing what actually happened.

Fair dice example

Theoretical probability of rolling a 6 is \( \frac{1}{6} \).

Experiment example

If a 6 appears 9 times in 40 rolls, experimental probability is \( \frac{9}{40} \).

How to Solve

Step 1: Understand theoretical probability

Theoretical probability is based on what should happen when outcomes are equally likely.

\( P(\text{event}) = \frac{\text{favourable outcomes}}{\text{total possible outcomes}} \)
For a fair coin, \(P(\text{heads}) = \frac{1}{2}\).

Step 2: Understand experimental probability

Experimental probability is based on what actually happens in an experiment.

\( \text{Experimental probability} = \frac{\text{number of times event happens}}{\text{total trials}} \)
If heads appears 18 times in 40 flips, experimental probability is \(\frac{18}{40} = 0.45\).
This builds on basic probability.
This is also known as relative frequency.

Step 3: Compare the two types

Theoretical

What should happen.

Experimental

What actually happened.

Comparison showing theoretical probability at 0.5 and experimental probability fluctuating around it

Step 4: Understand why results differ

Experimental probability can vary because real results do not always match the expected result exactly.

Small numbers of trials can give unreliable results.
Exam tip: More trials usually give a better estimate.

Step 5: Use experimental probability to predict

You can use experimental probability to estimate future outcomes.

\( \text{Expected number} = \text{experimental probability} \times \text{number of trials} \)

Step 6: Know when to use each type

Use theoretical probability

When all possible outcomes are known and equally likely.

Use experimental probability

When real experiment results are given.

Step 7: Exam method summary

See relative frequency for experimental probability from data.
  1. Decide whether the question gives expected outcomes or experiment results.
  2. Use theoretical probability for equally likely outcomes.
  3. Use experimental probability for real data.
  4. For predictions, multiply probability by the number of future trials.
  5. Comment that more trials usually improve reliability.

Example Questions

Exam Checklist

Common Mistakes

These are common mistakes students make when working with theoretical and experimental probability in GCSE Maths.

Mixing up the formulas

Incorrect

A student uses the wrong formula for the situation.

Correct

Theoretical probability is based on equally likely outcomes: \(\frac{\text{favourable outcomes}}{\text{total outcomes}}\). Experimental probability is based on data: \(\frac{\text{number of successes}}{\text{number of trials}}\).

Using the wrong type of probability

Incorrect

A student uses experimental data when theoretical probability is required, or vice versa.

Correct

Read the question carefully to determine whether you should use known outcomes (theoretical) or collected data (experimental).

Expecting exact agreement

Incorrect

A student assumes both probabilities must be the same.

Correct

Experimental probability is an estimate and may differ from theoretical probability, especially with small samples.

Ignoring sample size

Incorrect

A student treats all experimental results as equally reliable.

Correct

Larger sample sizes give more reliable experimental probabilities, as results tend to get closer to the theoretical value.

Not identifying equally likely outcomes

Incorrect

A student applies theoretical probability when outcomes are not equally likely.

Correct

Theoretical probability assumes equally likely outcomes. If this is not true, the method may not be appropriate.

Try It Yourself

Practise comparing theoretical and experimental probabilities.

Questions coming soon
Foundation

Foundation Practice

Compare theoretical and experimental probabilities.

Question 1

What is the theoretical probability of getting heads on a fair coin?

Games

Practise this topic with interactive games.

Games coming soon.

Frequently Asked Questions

What is theoretical probability?

Based on expected outcomes.

What is experimental probability?

Based on actual results.

Why compare them?

To understand real-world variation.