In statistics, a significance degree is the likelihood of rejecting the null speculation when it’s really true. In different phrases, it’s the threat of creating a Kind I error. The importance degree is often set at 0.05, which implies that there’s a 5% likelihood of rejecting the null speculation when it’s really true.
Nevertheless, there are occasions when it might be essential to set a special significance degree. For instance, if the implications of creating a Kind I error are very excessive, then it might be essential to set a extra stringent significance degree, corresponding to 0.01 or 0.001. Conversely, if the implications of creating a Kind II error are very excessive, then it might be essential to set a much less stringent significance degree, corresponding to 0.10 or 0.20.
