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Download the documentation - True BASIC

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Frequency Distributions 33<br />

Frequency Distributions<br />

This section describes frequency distributions and how to create and use <strong>the</strong>m with <strong>the</strong><br />

Statistics Graphics Toolkit. Think of a frequency distribution as a histogram; indeed, a<br />

histogram is simply a picture of a frequency distribution.<br />

Figure 43.16: Output of <strong>the</strong> HISTAREA Program.<br />

The “count” of each interval is <strong>the</strong> number of items in a dataset that is less than or<br />

equal to <strong>the</strong> top end of <strong>the</strong> interval, but not in any interval far<strong>the</strong>r to <strong>the</strong> left.<br />

Absolute vs. Relative Frequency Distributions<br />

In <strong>the</strong> simplest terms, frequency distributions contain counts and so are integers.<br />

However, true histograms show relative frequency distributions in which each count is<br />

a fraction, and <strong>the</strong> total area (count x interval width) sums to 1. Percent frequency distributions<br />

are like relative distributions, but <strong>the</strong> area sums to 100 instead of 1.<br />

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