What is a Type I error in a hypothesis test?
Answer and explanation
Correct answer: D. Rejecting a true null hypothesis
- Step 1: A Type I error is a false positive. Step 2. Its probability is the significance level alpha. Answer: rejecting a true null hypothesis. Why not the others: A Type II error consists of failing to reject a false null hypothesis, whereas a Type I error is incorrectly rejecting a true null hypothesis.
Practise more Data, Probability and Inference.
Free questions with an explanation for every one, and full timed AP (Advanced Placement) mock tests.
More Data, Probability and Inference questions
- Which measure of center is least affected by extreme values in a data set?
- A data set is skewed to the right. Which statement about its mean and median is most likely true?
- Heights of adult men are approximately normally distributed with a mean of 70 inches and a standard deviation of 3 inches. About what percen…
- A z-score of -1.5 for a test score means that the score is what?
- A correlation coefficient of r = -0.9 between two variables indicates what?
- In the regression equation y-hat = 5 + 2x, what does the slope of 2 mean?