Frequency Distrib

Frequency Distrib - FREQUENCY DISTRIBUTIONS by Harvey A....

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FREQUENCY DISTRIBUTIONS by Harvey A. Singer I Characteristics of frequency distributions. 1. The classes span the data . All the classes together cover the entire range of the observations 2. The classes are mutually exclusive . Any particular observation can be included in one and only one class. As a result, classes cannot overlap. 3. The classes are collectively exhaustive . Each and every observation can be included in one of the classes of the distribution. 4. Classes are contiguous . Classes fit next to and butt up against, each other. As a result, there are no gaps or "holes" between classes. 5. Classes are generally all of equal interval . Unequal intervals distort and misrepresent the distribution. Generally, wider classes are only used at the upper and lower at the distribution to capture extreme values and/or outliers. II Specific uses. 1. Individual data sets. Frequency and cumulative frequency distribution's are used to study single, individual, data sets (e.g., self-diagnosis of data set for its shape). 2. Comparing two or more data sets. © by Harvey A. Singer 1
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Two or more data sets can only be meaningfully compared to each other on a relative basis, especially if the data sets are of different sizes (that is, the two data sets being compared contain different number of observation). Establishing a relative basis for comparison is accomplished by
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Frequency Distrib - FREQUENCY DISTRIBUTIONS by Harvey A....

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