How do you determine the range from a grouped frequency table?

To determine the range from a grouped frequency table, it is essential to focus on the values represented by the groups or categories and not merely the frequencies themselves. The range represents the spread of the data and is calculated as the difference between the highest and lowest values present in the dataset.

By identifying the highest category and the lowest category that contain data (that is, where the frequency is greater than zero), you can then find the highest value corresponding to that category and the lowest value to find the range. This approach ensures you accurately capture the limits of the dataset as reflected in the grouped frequencies.

In this case, determining the range involves focusing on those categories with more than one frequency, ensuring that the calculated range reflects actual data points rather than voids or categories without data. Thus, the difference between the highest and lowest category that holds values gives the correct range of the dataset.