Creating a Cumulative Frequency Table: Steps Involved The process involves defining equal and non-overlapping intervals encompassing all data points, tallying data within each interval, and then calculating cumulative frequencies by adding the current interval's frequency to the previous interval's cumulative frequency. This running total is the defining characteristic of a cumulative frequency table. • Interval Creation and Data Organization: Intervals must be of equal size and not overlap to avoid ambiguity in data placement. The range of intervals should encompass all data points. Before creating the table, organize data (e.g., temperature data) and determine the minimum and maximum values to establish the interval boundaries. • Cumulative Frequency Calculation: Once data is tallied within each interval, the cumulative frequency for each interval is calculated by summing the frequency of the current interval and the cumulative frequency of the preceding interval. The final cumulative frequency should match the total number of data points.
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