Answer:
p-value
Explanation:
p-value: In statistics, the term p-value is defined as the probability of getting the observed results of a particular test, which leads to the assumption that the null hypothesis of the research or test is correct. p-value describes the level of marginal significance that underlies in a statistical hypothesis test that represents an event's occurrence probability.
In any of the statistical analyses, if the p-value is considered as less than 0.05 then the null hypothesis is being rejected and it is explained that there's no seen difference between two different means and hence a conclusion is made describing that a significant difference exists.
In the question above, the statement signifies the significance of the p-value.
