A sample from the population does not have to share the same characteristics as the populationReview LaterTrueFalse

The statement "A sample from the population does not have to share the same characteristics as the population" is True.

Explanation:

In statistics, a sample is a subset of individuals from a larger population. While the goal of sampling is often to obtain a representative sample that reflects the characteristics of the population, it is not a strict requirement. Variability can occur due to the random nature of sampling, meaning that the sample might not perfectly mirror the population.

This discrepancy can arise from various factors such as the size of the sample, the method of sampling (random vs. non-random), and inherent variations within the population. Hence, it is completely possible for a sample to differ in characteristics from the population from which it is drawn.

Overall, while researchers aim for their samples to be representative, it is essential to recognize that samples can and sometimes do differ from the population's characteristics.