Sometimes your data will not support your hypothesis. If this is the the case, what should you?
The solution is clear....you reject the hypothesis.....
Hypotheses, and theories depend on data and experiment. The data horse LEADS the theory cart, not the reverse. If the data consistently do not support the hypothesis, then CLEARLY, the hypothesis is NOT a reasonable explanation of what you are investigating. The hypothesis is rejected, and we search for a new interpretation, an new hypothesis that supports the experimental data.