Let's further define mutation as a heritable change in the genetic material. This point becomes important in multicellular organisms where we must distinguish between changes in gametes (germline mutations) and changes in body cells (somatic mutations).
Statistical significance relates to the question of whether or not the results of a statistical test meets an accepted criterion level. In psychology this level is typically the value of p < .05. The criteria of p < .05 was chosen to minimize the possibility of a Type I error, finding a significant difference when one does not exist. It does not protect us from Type II error, failure to find a difference when the difference does exist.
3. Determine how unusual your data must be before it can be considered significant. Many statisticians consider being 95% sure that the null hypothesis is false as a minimum for statistical significance (giving a p-value of 0.05).This is the confidence level.. Determine how unusual your data must be before it can be considered significant. Many statisticians consider being 95% sure that the null hypothesis is false as a minimum for statistical significance (giving a p-value of 0.05). This is the confidence level.