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CSS Statistics QUESTION #1972
Question 1
In hypothesis testing, the probability of committing a Type-I error (rejecting a true null hypothesis) is denoted by:
  • \(\beta\)
  • \(\alpha\)✔️
  • \(1 - \beta\)
  • \(1 - \alpha\)
Correct Answer Explanation
Type-I error \((\alpha)\) is the probability of rejecting \(H_0\) when it is actually true (false positive). Type-II error \((\beta)\) is the probability of failing to reject \(H_0\) when it is false.