If the null hypothesis were true, the probability of getting the results I got in my study would be 0.0001, which is really small.
Step-by-step explanation:
In hypothesis test, the conditions in null hypothesis is<em> assumed true </em>and the <em>probability</em> of the results in the study are being evaluated.
If this probability is <em>smaller</em> then the significance level, then the null hypothesis is <em>rejected</em>.