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Class width is the difference between the upper and lower boundaries of a class interval in a frequency distribution. It helps in determining how data is grouped into intervals. For example, in the class interval 25-32, the class width is 32 - 25 = 7. Consistent class widths are essential for accurate data representation and analysis.

The class midpoint is the value that lies in the middle of a class interval and is calculated by averaging the upper and lower boundaries of the class. For instance, for the class 25-32, the midpoint is (25 + 32) / 2 = 28.5. Midpoints are useful for summarizing data and performing further statistical calculations, such as finding the mean.

Class boundaries are the values that separate one class interval from another, ensuring there are no gaps between classes. They are typically calculated by taking the average of the upper limit of one class and the lower limit of the next. For example, the boundary between the classes 32 and 33 would be 32.5. Understanding class boundaries is crucial for accurate data analysis and representation.