Final answer:
The given source potentially creating bias in a statistical study cannot be determined without additional information on how the data was collected. Directed by principles in statistics, potential bias occurs when the sample does not proportionally represent the population.
Step-by-step explanation:
To determine whether the given source has the potential to create bias in a statistical study, we have to consider how the data was collected and if every member of the population had an equal chance of being included. When looking at data set I in Appendix B with body measurements obtained by the U.S. Department of Health and Human Services, National Center for Health Statistics, if the data was collected randomly and represents the entire population adequately, then no potential bias is present. However, without specific details on how the data was collected, we might not be able to fully determine the presence of bias. Therefore, the most suitable answer would be 'C. Cannot determine' because there's not enough information to make an accurate assessment of potential bias.
Various sources of bias must be considered in statistical studies. According to the reference information provided, not having a telephone, having an unlisted cell phone number, or not being available during the time of data collection can create a bias because it could exclude portions of the population and not be representative of the whole. Such considerations are critical when evaluating the potential for bias in a statistical study. In this context, it also matters how the sample was drawn from the population. A bias occurs if the sample is not selected randomly, which can lead to incorrect conclusions about the population. Biased samples can sometimes arise even with large samples, such as internet surveys, which are often biased because people self-select whether to respond.