# Frequency Distribution of Discrete Data

Discrete data is generated by counting, and each and every observation is exact. When an observation is repeated, it is counted. The number for which the observation is repeated is called the frequency of that observation. The class limits in discrete data are true class limits; there are no class boundaries in discrete data.

Example:

The following is the number of female employees in different branches of commercial banks. Make a frequency distribution.

2, 4, 6, 1, 3, 5, 3, 7, 8, 6, 4, 7, 4, 4, 2, 1, 3, 6, 4, 2, 5, 7, 9, 1, 2, 10, 1, 8, 9, 2, 3, 1, 2, 3, 4, 4, 4, 6, 6, 5, 5, 4, 5, 8, 5, 4, 3, 3, 2, 5, 0, 5, 9, 9, 8, 10, 0, 4, 10, 10, 1, 1, 2, 2, 1, 8, 6, 9, 10

Solution:

The involved variable is “the number of female employees” which is a discrete variable. The largest and smallest values of the given data are 10 and 0 respectively.

 Number of Employees (Classes) $x$ Branches (Frequency) $f$ $0$ $2$ $1$ $8$ $2$ $9$ $3$ $7$ $4$ $11$ $5$ $8$ $6$ $6$ $7$ $3$ $8$ $5$ $9$ $5$ $10$ $5$