# Statistics/Testing Statistical Hypothesis

In the end, most folks summarize the result of a hypothesis test into one particular value - the p-value. If the p-value is smaller than the level of significance (usually $\alpha=5%$, but even lower in other fields of science i.e. Medicine) then the zero-hypothesis rejected and the alternative hypothesis accepted. The p-value is actually the probability of making a statistical error. If the p-value is higher than the level of significance you accept the zero-hypothesis and reject the alternative hypothesis, however that does not necessarily mean that the zero-hypothesis is correct.