Answered

A Type I error occurs when there is no true difference between groups in the source population, but we find one in our sample (false positive).

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Answer :

GinnyAnswer

Final answer:

Type I error is rejecting the null hypothesis incorrectly, leading to a false positive.


Explanation:

Type I error occurs when the null hypothesis is rejected incorrectly, indicating a difference between groups that does not actually exist, leading to a false positive. This error is symbolized by the Greek letter alpha (α) and relates to the concept of p-values. Researchers aim to minimize Type I errors to avoid accepting false claims.


Learn more about Type I error here:

https://brainly.com/question/34414590


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