HCCA Basic Academy Practice Exam - Practice Test & Study Guide

For a sample to be considered statistically valid, it is essential that it is selected randomly and without bias. Random selection helps ensure that every member of the population has an equal chance of being chosen, which minimizes any selection bias that could skew the results. This randomness allows for results that can be generalized to the larger population, making the findings more reliable and valid for statistical analysis.

In the context of sampling, if the process relies on convenience, personal judgment, or subjectivity, it can lead to a sample that does not accurately represent the population. This misrepresentation can compromise the integrity of any conclusions drawn from the analysis. Therefore, the requirement for random selection is crucial in maintaining the validity and generalizability of the sample in statistical studies.