Final answer:
The difference is probably true due to sampling variability.
Step-by-step explanation:
The correct statement is: The difference is probably true. When there is a difference between two samples, it could be due to various factors such as measurement variability, natural variability, induced variability, or sampling variability. Sampling variability refers to how much a statistic varies from sample to sample within a population. The larger the sample size, the smaller the variability between samples will be. Therefore, when comparing two samples and observing a difference, it is likely to be due to sampling variability.