In a grouped frequency distribution, data is sorted and separated into groups called classes, whereas in an ungrouped frequency distribution, a listing is made by pairing up each data value with the number of times that the data value occurs. Ungrouped frequency distribution is used for data that is discreet.
Grouping frequency distribution is useful for large data sets and when a researcher wants to make a frequency distribution table or graph However, grouped data cannot be used for computing statistics. It is primarily used for making graphs or tables.
To form a grouped frequency distribution table, classes should be continuous and should not overlap each other. Classes should be of equal width, and all data values should be included. In the case of an ungrouped frequency distribution table, all the possible unique data elements should be listed, the frequency for the corresponding data element of each data value should be determined, and all results should be listed in a tabular form.
Both of these methods fall under frequency distribution, a term used in statistics. Frequency distribution is described as a tabular representation of statistical data. It is a table that displays the number of occurrences of a particular value or interval.