Edexcel GCSE Foundation Maths: Understanding Relative Frequency
What is Relative Frequency?
Relative frequency is a way of measuring how often something happens in a set of data. It's expressed as a fraction, decimal or percentage.
How to calculate Relative Frequency:
- Identify the event: The specific outcome you're interested in.
- Count the occurrences: How many times does this event happen in your data set?
- Divide by the total: Divide the number of occurrences by the total number of trials or observations.
Formula:
Relative Frequency = (Number of occurrences of the event) / (Total number of trials)
Example:
Let's say you roll a dice 20 times and get the following results:
- 1: 3 times
- 2: 4 times
- 3: 2 times
- 4: 5 times
- 5: 3 times
- 6: 3 times
Calculate the relative frequency of rolling a 4:
- Event: Rolling a 4.
- Occurrences: The number 4 appears 5 times.
- Total trials: You rolled the dice 20 times.
Relative Frequency: (5/20) = 0.25 or 25%
Interpreting Relative Frequency:
The relative frequency of 0.25 means that in this experiment, a 4 was rolled 25% of the time.
Why is Relative Frequency Important?
- Predicting future outcomes: Relative frequency helps estimate the likelihood of an event happening in the future.
- Comparing probabilities: It allows you to compare the likelihood of different events happening.
- Understanding trends: By analysing relative frequencies over time, you can identify patterns and trends in data.
Key Points:
- Relative frequency is always a number between 0 and 1.
- A relative frequency of 0 means the event never happened, while a relative frequency of 1 means it happened every time.
- As the number of trials increases, the relative frequency usually gets closer to the true probability of the event.
Practice Problems:
- A coin is flipped 50 times, and heads appears 28 times. Calculate the relative frequency of getting heads.
- In a class of 30 students, 18 students like chocolate, 12 like strawberry, and 5 like both. Calculate the relative frequency of students who like only chocolate.
By understanding relative frequency, you gain a valuable tool for interpreting data and making informed predictions.