Because researchers deal with probabilities, there is a small but real possibility of erroneously concluding that the study results are significant. When this happens it is referred to asa(n):

Question

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Type I error occurs when a researcher incorrectly rejects a null hypothesis that is actually true. It is also known as a false positive error and is often represented by the symbol alpha (α). This error can occur due to chance or due to factors such as small sample size or flawed statistical analysis. It is important for researchers to set a clear level of significance (alpha) before conducting a study to minimize the risk of making a Type I error.

Because Researchers Deal with Probabilities, There Is a Small but Real