Class boundary

What Class boundary is

Class boundaries are the points that separate classes or groups in a data set, and they are used to create a histogram. Histograms are graphical representations of data that show how often certain values occur within a set of data.

Steps for calculating class boundaries:

  1. Arrange the data in ascending order.

  2. Find the lower boundary of the first class by subtracting 0.5 from the smallest value in the data set.

  3. Find the upper boundary of the last class by adding 0.5 to the largest value in the data set.

  4. Calculate the class width by subtracting the lower boundary of the first class from the upper boundary of the last class.

  5. Divide the class width by the number of classes in the data set to find the class size.

  6. Starting from the lower boundary of the first class, add the class size to find the lower boundary of each class.

  7. Starting from the upper boundary of the last class, subtract the class size to find the upper boundary of each class.

Examples

  1. Class boundary in statistics can be used to define the range of values that make up a particular group or class in a dataset. For example, if the values of a particular variable range from 1 to 10, the class boundaries would be 1, 3.5, 6 and 10.

  2. Class boundaries can be used to create bins for data analysis. For example, if a dataset includes the total number of visitors to a website in a given day, the class boundaries could be used to create bins such as 0-10, 11-20, 21-30 and so on.

  3. Class boundaries can be used to divide a dataset into different categories. For example, if data is collected on the number of hours that employees work in a week, the class boundaries could be used to separate the data into categories such as full-time, part-time or casual employees.

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