Answer
Two samples are said to be independent if the observations in one do not depend on the observations in the other. The samples are collected on two different populations and on different sets of items. For example, the sample data of weights of people of two different countries represents an independent sample.
The dependent samples have the observations from the same or related populations. The observations in such samples are usually paired and are collected for the same population or for a related set of units in two different scenarios. They are mostly collected in comparative studies. The values in both the samples are affected by each other. For example, the sample data of the weights of people of a country before and after providing a diet is the dependent sample.
Work Step by Step
The basic difference between independent and dependent samples is that in the former, the sample observations do not relate to each other, while in the latter, they do.
