When a result is significant, explain why it is wrong to say the result "proves" the research hypothesis. Choose the correct answer below. O A. When conducting a hypothesis test, one is testing the significance of the null hypothesis, not the research hypothesis. When making a conclusion, one would reference if the null hypothesis is proven, not the research hypothesis. O B. When a result is significant, it disproves the research hypothesis. Conclusions regarding hypothesis tests are always in the negative sense, able to prove the research hypothesis false, but not able to prove it true. O C. Terms such as prove and true are too strong because the results of research studies are based on probabilities. Specifically, they are based on the probability of getting the result if the null hypothesis were true. When this probability is low, the null hypothesis is rejected, but the research hypothesis is not proven. O D. Terms such as significant and statistically significant do not imply what level of significance was used in the study. One cannot make a conclusion about whether the research hypothesis is proven without knowing the significance level