Significantly different refers to when there is enough evidence to reject the null hypothesis in favor of an alternative hypothesis. It means that there is a notable distinction or effect present between groups or variables being compared.
Related terms
Type I Error: Type I error occurs when one rejects the null hypothesis when it is true, indicating false positive results.
Type II Error: Type II error occurs when one fails to reject the null hypothesis when it is false, indicating false negative results.
Power: In statistics, power refers to the ability to detect significant differences or effects if they truly exist. Higher power increases sensitivity to detect real effects.