Final answer:
The Cumulative Record's primary goal is to count total responses, often displayed in a cumulative relative frequency chart. This method helps track the accumulation of responses over time and assists in comparing data sets effectively. It is particularly useful for making decisions based on categorical data collected over time.
Step-by-step explanation:
The Cumulative Record is used for determining the 'most' responses. The purpose of a Cumulative Record, such as in a cumulative relative frequency chart, is A) Counting total responses. When organizing data, cumulative relative frequency helps us understand how many times a value appears. By adding the previous relative frequencies together, one can determine how the values accumulate over a set of data. For example, if we are tracking study habits, a cumulative relative frequency chart can tell us not just how many students study for five hours or more, but also how that number compares with those who study less, providing a clear picture of overall study habits.
When collecting data, values can be recorded numerically and then categorized later, which helps in analyzing trends and patterns.
Additionally, when visual representations are necessary, such as when determining the enrollment numbers for different intervals at a college, both frequency and cumulative frequency charts can be utilized to create meaningful graphs like histograms. These representations can aid in decisions, like whether to build a new community college based on modes or means of enrollments.