Yes, the level of significance (a) is the probability of committing a Type 1 error in hypothesis testing. A Type 1 error occurs when the null hypothesis is rejected when it is actually true. The level of significance is typically set at a certain value (e.g. 0.05 or 0.01) and represents the maximum probability of making a Type 1 error that the researcher is willing to accept.