Evaluates the probability that the null-hypothesis is correct. The null
hypothesis is generally taken to be something like "two observed datasets
were generated by the same underlying distribution." In this case,
rejecting the null hypothesis is equivalent to saying that two datasets were
NOT generated by the same distribution. That is, with high confidence, we
can be sure that the two observed datasets a statistically significantly
different. Social scientists usually reject the null hypothesis when
NullHypothesisProbability less than 0.05.
Computes the probability that two data were generated by
the same distribution. NullHypothesisProbability=1 means that the
distributions are likely the same, NullHypothesisProbability=0 means they
are likely NOT the same, and NullHypothesisProbability less than 0.05
is the standard statistical significance test. This is the "p-value"
that social scientists like to use.
data1 - First dataset to consider
data2 - Second dataset to consider
Probability that the two data were generated by
the same source. A value of NullHypothesisProbability less than 0.05
is the standard point at which social scientists say two distributions
were generated by different sources.