Final answer:
The relative frequencies for intervals in a statistical dataset are useful for analyzing and understanding the distribution of the data.
Step-by-step explanation:
The relative frequencies for the intervals in a statistical dataset are useful for analyzing and understanding the distribution of the data. By calculating the relative frequencies, you can determine the proportion of data points that fall within each interval. This information can help you identify patterns, outliers, and trends in the data.
For example, let's say you have a dataset of test scores for a class of students. By calculating the relative frequencies for different score intervals, you can determine the percentage of students who scored within each interval. This can help you identify the most common scores and understand the overall performance of the class.
Additionally, relative frequencies are often used to create visual representations of data, such as histograms or frequency polygons. These graphs provide a visual summary of the distribution of the dataset, making it easier to interpret and compare different datasets.