Frequency Tables and Relative Frequency

A frequency table is a way to organize data that shows how often each value occurs in a dataset.

Relative frequency is the ratio of the number of times a value occurs to the total number of values, often expressed as a percentage.

Relative frequency = (Frequency of a specific value) / (Total frequency) x 100%.

A frequency table helps us understand the distribution of data and identify patterns or trends.

Relative frequency = (20/100) x 100% = 20%.

The total frequency is the sum of all individual frequencies in the table.

Look for the frequency corresponding to 'skipped breakfast' in the table.

Understanding relative frequency helps in comparing different categories within a dataset.

Relative frequency = (15/100) x 100% = 15%.

A high relative frequency indicates that a particular value or category occurs frequently in the dataset.