Review the key concepts, formulae, and examples before starting your quiz.
🔑Concepts
Relative frequency is the ratio of the number of times a particular event occurs to the total number of trials conducted in an experiment.
It is also known as experimental probability because it is based on observed data rather than theoretical reasoning.
As the number of trials () increases, the relative frequency tends to get closer to the theoretical probability of the event. This is known as the Law of Large Numbers.
The sum of the relative frequencies for all possible outcomes in an experiment is always .
Relative frequency can be expressed as a fraction, a decimal, or a percentage, and it always lies in the range .
📐Formulae
💡Examples
Problem 1:
A spinner with four colors (Red, Blue, Green, Yellow) is spun times. The results show that the color Blue appeared times. Calculate the relative frequency of the spinner landing on Blue.
Solution:
Explanation:
To find the relative frequency, divide the frequency of the specific outcome (Blue = ) by the total number of trials (). The result is or .
Problem 2:
The relative frequency of a computer component failing within the first year is found to be . In a batch of components, how many are expected to fail?
Solution:
Explanation:
Multiply the relative frequency (the probability based on past data) by the total number of units in the batch to estimate the number of occurrences.
Problem 3:
A student flips a coin times and records Heads. Calculate the relative frequency of Tails.
Solution:
Explanation:
First, find the frequency of Tails by subtracting the number of Heads from the total trials. Then, divide the frequency of Tails by the total trials () to get .