The experiment is then repeated an infinite number of times. The results of the experiment are compared with the model of step one. If, given the model, the results are unlikely, then the model is rejected and the effects are accepted as real. If, the results could be explained by the model, the model must be retained. In the latter case no decision can be made about the reality of effects.
Hypothesis testing is equivalent to the geometrical concept of hypothesis negation.
If it is shown that this assumption is logically impossible, then the original hypothesis is proven. An analogous situation exists with respect to hypothesis testing in statistics. In hypothesis testing one wishes to show real effects of an experiment. By showing that the experimental results were unlikely, given that there were no effects, one may decide that the effects are, in fact, real. The symbol H0 is used to abbreviate the Null Hypothesis in statistics.