In constructing frequency distribution, number of classes depends upon
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size of data
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The number of classes depends on the size of data/ size of class in a frequency distribution.
- For statistical calculations, the groups or classes are split.
- For each class, the amount of repetitions or frequency is verified based on the individual class.
- However, the number of categories to be separated is solely determined by the amount of data collected.
- The aim of data condensation into relevant groupings will be undermined if there are too many classes.
- At the same time, there will be a loss of information if there are too few classes.
- In addition, all of the classes have been made continuous to limit the likelihood of specific data falling into a certain class being neglected.
- Hence, there should be an appropriate balance between available data and the number of classes for frequency distribution.
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