Question

An analyst has set alpha level of .001 for his analysis. He is likely concerned about



Type I error


Type II error


Standard error


Test of significance

Answer 1

Hey dear,

● Answer- Type I error

● Extra information-
- Alpha error is nothing but type I error
- Also known as statistical test of significance
- It's defined as the probability of committing a type I error
- It rejects the null hypothesis when it is actually true.
- It's denoted by greek letter α (alpha).

Hope this helps you...