Significance tests are performed to see if the null hypothesis can be rejected. If the null hypothesis is rejected, then the effect found in a sample is said to be statistically significant. If the null hypothesis is not rejected, then the effect is not significant. The experimenter chooses a significance level before conducting the statistical analysis. The significance level chosen determines the probability of a Type I error. A statistically significant effect is not necessarily practically significant.