Mastering Class Intervals: An Essential Guide for Organizing and Analyzing Numerical Data

class interval

The unit for the horizontal axis in a frequency distribution.

A class interval is a range of values that is used to classify a set of numerical data into groups or classes. It is a way of organizing numerical data into groups to make it easier to analyze and interpret. Class intervals are often used when dealing with large sets of data, as they help to condense the data into more manageable groups.

The class interval is determined by choosing a starting point, also known as the lower limit, and an ending point, also known as the upper limit. The difference between the upper and lower limits is known as the class width, which can be any value as long as it is consistent throughout all the intervals.

For example, if we have a set of exam scores ranging from 0 to 100, we can create class intervals of 0-10, 10-20, 20-30 and so on. The lower limit would be the minimum score in each interval and the upper limit would be the maximum score in each interval. The class width in this case is 10.

Class intervals can be represented graphically in a histogram, which is a bar chart that shows the frequency or number of observations within each interval. By using class intervals, we can visualize the distribution of the data more easily and draw conclusions about the patterns and trends that may be present.

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