Observed frequency refers to the actual count or number of occurrences of a specific event or category in a dataset. This term is crucial in statistical analysis, especially in tests that compare observed data to expected outcomes, such as evaluating how well a particular distribution fits the observed data. It provides a basis for determining if the differences between observed and expected frequencies are significant.
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