What is a Cumulative Relative Frequency Distribution?

A Cumulative Relative Frequency Distribution provides a way to understand the relative standing of data points within a larger dataset by accumulating frequencies and expressing them as a fraction of the total number of observations. This distribution is beneficial in identifying the proportion of data points that fall below a particular value in a dataset.

By constructing a cumulative relative frequency distribution, you can see, for instance, what percentage of observations are less than or equal to a specific value. This is valuable for understanding the distribution's overall pattern and for making comparisons between different datasets.

While the other options mention summaries or graphical representations, they do not capture the essence of a cumulative relative frequency distribution, which focuses specifically on the cumulative nature of frequency expressed as fractions. Option A discusses counts, while option B refers to data values without classes, and option D implies a visual representation that does not convey the cumulative fraction information as effectively as option C does.