Here are the essential concepts you must grasp in order to answer the question correctly.
Class Boundaries
Class boundaries are the values that separate classes in a frequency distribution. They are used to define the intervals for grouping data points, ensuring that there are no gaps between the classes. For example, if one class is 10-20, the class boundary would be 20, which is the starting point of the next class.
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Histograms
A histogram is a graphical representation of the distribution of numerical data, where data is grouped into bins or intervals. The height of each bar represents the frequency of data points within that interval. In a histogram, class boundaries are crucial because they determine where one bar ends and another begins, ensuring that the bars touch if the data is continuous.
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Continuous Data
Continuous data refers to numerical data that can take any value within a given range. This type of data is often represented in histograms where the intervals are adjacent, reflecting the idea that there are no gaps between the values. When dealing with continuous data, it is essential for the bars in a histogram to touch, as this visually indicates the continuity of the data.
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