Can a frequency distribution have overlapping classes?

Sometimes
No
Yes
Can't determine. I need more information

Yes, a frequency distribution can have overlapping classes.

To determine if a frequency distribution can have overlapping classes, let's first understand what a frequency distribution is. A frequency distribution is a tabular representation of data that shows the number of observations within specified intervals or classes. These classes, or intervals, are non-overlapping ranges that cover the entire range of values in the dataset.

However, in certain situations, it is possible to have overlapping classes in a frequency distribution. This typically occurs when the data contains values that fall into multiple classes simultaneously.

For example, let's say we have a dataset of ages (in years) of a sample population. We may construct a frequency distribution with classes like "0-9 years," "10-19 years," "20-29 years," and so on. However, if there are individuals in the sample population who fall into two adjacent classes, such as someone aged 19.5 years, they would be counted in both the "10-19 years" class and the "20-29 years" class.

So, in summary, a frequency distribution can have overlapping classes in special cases where the data contains values that fall into multiple adjacent classes simultaneously.