PRC-2 · Chapter 12 · Question 23 of 55
In statistical hypothesis testing, a 'Type I error' occurs when a researcher:
Test yourself: pick an answer
Reveal answer & explanation
Correct answer: A) Rejects a true null hypothesis.
Explanation
A Type I error is essentially a 'false positive'—concluding that a change or effect exists when, in reality, the null hypothesis was actually correct.
More Probability Distributions MCQs
- Q25The 'significance level' (α) in a statistical test represents the maximum allowed probability of committing a:
- Q26In a standard normal distribution test, if a calculated z-test value falls within the designated 'critical region' (rejection zone), what…
- Q27What specifically happens to the calculated 'Standard Error of the Mean' as the sample size (n) is increased?
- Q28A 'null hypothesis' (H0) is most commonly used in statistical testing to represent:
- Q29A 'sampling frame' is formally defined in research as: