Statistics, Statistical Analysis, Normal Distribution, Central Limit Theorem, Cdf.
The output gives us two values: the D statistic and the p-value. The p-value is a measure of how likely it is to observe a D statistic as large or larger than the one we got, if the normal approximation is true. The smaller the p-value, the more evidence we have to reject the normal approximation.