A type I error occurs when the sample results lead to the rejection of the null hypothesis when it is, in fact, true.Select one:TrueFalse
Question
A type I error occurs when the sample results lead to the rejection of the null hypothesis when it is, in fact, true.
Select one:
- True
- False
Solution
This statement is True.
A Type I error is indeed defined as the incorrect rejection of a true null hypothesis. In hypothesis testing, the null hypothesis (often denoted as ) proposes that there is no significant effect or difference in the context of the study. When a Type I error occurs, it means that the researchers conclude that there is enough evidence to support an alternative hypothesis (denoted as ) when, in reality, the null hypothesis is correct. This kind of error can lead to false claims or assumptions about the efficacy of treatments, trends, or behavioral patterns in research studies.
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