Purpose

    This procedure produces tables of frequency counts and percentages for discrete and continuous variables. Frequency or one-way tables represent the simplest method for analyzing categorical data. They are often used as one of the exploratory procedures to review how different categories of values are distributed in the sample.

Preparations

    Run Statistics→Basic Statistics and Tables→Frequency Tables....

    Select following variables

• Discrete variable (required). Frequency will be calculated for each level of discrete variable.

        OR

• Continuous variable (required). Frequency will be calculated for each bin created. Bins are created using these options:

  • Number of intervals(required). Specifies the number of bins. If there are some data values outside bins than the number of bins (intervals) will be adjusted automatically.

  • Minimum value (optional). Minimum value must be less than the minimum data value. If minimum value isn't less than the minimum data value it will be adjusted automatically.

  • Width of an interval (optional). Specifies the bin width. Equal width bins are used.

   

• Frequency variable (optional) - specifies the number of observations that each row represents. When omitted, each row represents a single observation. (Frequency variable is assumed to be (1,1,1,1,...) )

• Layer (Break) Variable (optional) - defines layers of two-way table. Each level of the layering variable is a separate two-way table. This variable distinct values will cause separate tables to be generated.
   

Results

A frequency table is constructed by dividing the scores into intervals and counting the number of scores in each interval.

Count, Cumulative Count, Frequency (Percent), Cumulative Frequency (Percent) calculated.