Final answer:
An equal distribution of data points above and below a curve suggests there is low percent deviation and high precision, indicating the data's variability is because of truly random error and not due to any systematic issue.
Step-by-step explanation:
An equal distribution of data points above and below a curve typically indicates consistent, random variability around a central value, which usually means there is low percent deviation and high precision. This suggests that any scatter in the data is due to truly random error, rather than a systematic flaw or mistake, thus pointing to answer C (low percent deviation) for the provided question. In the context of the standard deviation and rules like Chebyshev's Rule and the Empirical Rule, this equal distribution supports the idea that the data is reliable and well-clustered around the mean, which is desirable in statistical analyses and scientific measurements.