Observed frequencies refer to the actual counts or occurrences of events in a data set, as opposed to expected frequencies which are theoretical predictions based on a model or hypothesis. They are crucial in statistical tests like the chi-square test, where they are compared against expected frequencies to determine if there are significant differences or relationships present in the data.
