The p-value is the probability (measured from 0 to 1, or 0% to 100%)
that the Null Hypothesis is true. You can reject the Null Hypothesis if
the p-value found for a calculation is less than 0.05 (5%) or less than
0.01 (1%).
For example, a p-value of 0.03 when comparing two sets of data means that there is only a 3% chance that the two samples are NOT similar. Therefore, this means there is a 97% chance they ARE similar.
For example, a p-value of 0.03 when comparing two sets of data means that there is only a 3% chance that the two samples are NOT similar. Therefore, this means there is a 97% chance they ARE similar.