In hypothesis testing, if the null hypothesis has been rejected when the alternative hypothesis has been true,
A) a Type I error has been committed.
B) a Type II error has been committed.
C) either a Type I or a Type II error has been committed.
D) the correct decision has been made.
Correct Answer:
Verified
Q1: The level of significance is the
A) maximum
Q2: If the null hypothesis is rejected in
Q3: The error of rejecting a true null
Q5: The p-value is
A) the same as the
Q6: For a given sample size in hypothesis
Q7: For a two-tailed test, the p-value is
Q8: The p-value is a probability that measures
Q9: For a lower tail test, the p-value
Q10: The probability of making a Type I
Q11: The critical value of t for a
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