What is the definition of independent​ samples? A. All samples of the same size have an equal chance of being selected from the population. B. The sample selected from one of the populations has no effect or bearing on the sample selected from the other population. C. The sample selected from one of the populations is paired with a sample selected from the other population.

B. The sample selected from one of the populations has no effect or bearing on the sample selected from the other population.

Step-by-step explanation:

In statistical analysis, the use of independent samples for diverse studies is common.

Independent samples are such that the sample selected from one of the populations has no effect or bearing on the sample selected from the other population.

This means that samples are selected randomly in such a way that an observation obtained from a sample does not depend on the values obtained from the observation of another sample from the other population.

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