QUESTION IMAGE
Question
question 8
1 pts
ch 18 if we reject ho when in fact ho is true, this is a ____________ error.
type i
random error.
type ii
question 9
1 pts
ch 18 rejecting ho is subjective since it depends on the alpha (α) value chosen at the beginning of the experiment.
true
false
question 10
1 pts
ch 18 the margin of error in a confidence interval refers to
nonresponse error.
response error.
sampling error.
measurement error.
Brief Explanations
- Question 8: In hypothesis testing, a Type I error is defined as rejecting the null hypothesis ($H_0$) when it is actually true. A Type II error is failing to reject $H_0$ when it is false. Random error is not the specific term for this situation.
- Question 9: The significance level ($\alpha$) is chosen before conducting a hypothesis - test. A smaller $\alpha$ makes it harder to reject $H_0$, and a larger $\alpha$ makes it easier. So, the decision to reject $H_0$ is subjective based on the pre - chosen $\alpha$.
- Question 10: The margin of error in a confidence interval is related to sampling error. Sampling error occurs because we are taking a sample from a population. Non - response error is due to people not responding to a survey, response error is due to incorrect responses, and measurement error is due to flaws in the measurement process.
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- Question 8: Type I
- Question 9: True
- Question 10: sampling error