Frequency Distribution Tables

Learn what frequency means, how to create frequency tables for grouped and ungrouped data, and understand data distribution with simple examples.

1. Meaning of Frequency

Frequency tells how many times a particular value or item appears in the data. Instead of writing every value again and again, frequency helps count repeated values easily.

For example, if the marks 5 appears 3 times in a list, then the frequency of 5 is 3.

2. Frequency Table for Ungrouped Data

Ungrouped data lists each value separately. A frequency table for such data helps count how often each value appears. It is useful when the number of distinct values is small.

2.1. Steps to Create an Ungrouped Frequency Table

  • Write all the different values in one column.
  • Go through the data list and count how many times each value appears.
  • Write the counts in another column as frequencies.

2.2. Example

Consider the data: 2, 3, 2, 5, 3, 3, 4, 2.

ValueFrequency
23
33
41
51

3. Frequency Table for Grouped Data

When the data has many values or varies over a wide range, grouping it into intervals (called class intervals) makes it easier to analyze. Each interval shows how many data points fall within that range.

3.1. Class Intervals

Class intervals group values into ranges such as 0–10, 10–20, 20–30, and so on. The width of each interval is the difference between its upper and lower limits.

3.2. Steps to Create a Grouped Frequency Table

  • Choose suitable class intervals based on the data range.
  • Make sure intervals cover all values without gaps.
  • Count how many values fall in each interval.
  • Record the counts as frequencies.

3.3. Example

For the data: 12, 18, 25, 29, 34, 36, 40, 42, 45, we group into intervals:

Class IntervalFrequency
10–202
20–302
30–402
40–503