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Frequency Table
Frequency is a measure of the number of occurrences of a particular score in a given set of data. A frequency table is a method of organizing raw data in a compact form by displaying a series of scores in ascending or descending order, together with their frequencies—the number of times each score occurs in the respective data set. Included in a frequency table are typically a column for the scores and a column showing the frequency of each score in the data set. However, more detailed tables may also contain relative frequencies (proportions) and percentages. Frequency tables may be computed for both discrete and continuous variables and may take either an ungrouped or a grouped format. In this entry, frequency tables for ungrouped and grouped formats are discussed first, followed by a discussion of limits and midpoints. This entry concludes with a brief discussion of the advantages and drawbacks of using frequency tables.
Frequency Tables for Distributions with Ungrouped Scores
Frequency distributions with ungrouped scores are presented in tables showing the scores in the first column and how often each score has occurred (the frequency) in the second. They are typically used for discrete variables, which have a countable or finite number of distinct values. Tables of ungrouped scores are also used when the number of different scores a variable can take in a data set is low.
| Table 1 Raw Data of the Number of Children Families Have in a Small Community | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| 5 | 2 | 3 | 4 | 5 | 5 | 4 | 5 | 2 | 0 |
| Table 2 An Ascending Array of the Number of Children Families Have in a Small Community | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| 0 | 2 | 2 | 3 | 4 | 4 | 5 | 5 | 5 | 5 |

Two steps must be followed to build up a frequency table out of a set of data: (a) Construct a sensible array using the given set of data, and (b) count the number of times each score occurs in the given data set. The raw data in Table 1 show the number of children families have in a small community.
Building up an array implies arranging the scores in an ascending or descending order. An ascending array is built for the data set in Table 2.
The number of times each score occurs in the data set is then counted, and the total is displayed for each score, as in Table 3.
Frequencies measure the number of times each score occurs. This means that one family has no children, and four families have five children each. Although some scores may not occur in the sample data, these scores must nevertheless be listed in the table. For example, even if there are no families with only one child, the score of 1 is still displayed together with its corresponding frequency (zero) in the ascending array built out of the sample data.
Relative frequencies, also called proportions, are computed as frequencies divided by the sample size: rf = f/n. In this equation, rf represents the relative frequency corresponding to a particular score, f represents the frequency corresponding to the same score, and n represents the total number of cases in the analyzed sample. They indicate the proportion of observations corresponding to each score. For example, the proportion of families with two children in the analyzed community is 0.20.
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