There are several types of frequencies that provide different insights into your data:
- Absolute Frequency: This is the simple count of observations in each category. In our example above, we can see that 6 observations fall into the interval
4 <= r < 6, representing the highest count in any single interval.
- Relative Frequency: Relative frequency shows the proportion of observations in each category compared to the total observations. It's calculated by dividing the absolute frequency by the total number of observations. Relative frequencies are often expressed as percentages and always sum to 100%.
- Cumulative Relative Frequency: This measure is particularly useful for understanding the distribution of data up to a certain point. It answers questions like "What percentage of observations fall below a certain value?" For instance, from our table below, we can see that 70% of all observations fall below 6.
