![]() This data set had 200 values, so this exact cumulative distribution has 200 points, making it a bit ragged. Instead, you can tabulate the exact cumulative distribution as shown below on the left. The main advantage of cumulative distributions is that you don't need to decide on a bin width. The layout below shows a frequency distribution graph on the left, and a cumulative distribution graph of the same data on the right, both plotting the number of values in each bin. By definition, the last bin contains the total number of values. In a cumulative distribution, each bin contains the number of values that fall within or below that bin. ![]() In a frequency distribution, each bin contains the number of values that lie within the range of values that define the bin. Choose the analysisĬlick Analyze and then choose Frequency distribution from the list of analyses for Column data. If you are not ready to enter your own data, you may choose the Column table sample data "Frequency distribution" from the Welcome Dialog. Choose a Column table, and a column scatter graph.
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