A Type II error is committed when
A) a true alternative hypothesis is mistakenly rejected
B) a true null hypothesis is mistakenly rejected
C) the sample size has been too small
D) not enough information has been available
Correct Answer:
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Q1: The sum of the values of
Q1: The level of significance is the
A) maximum
Q2: In hypothesis testing, the tentative assumption about
Q4: For a lower tail test, the p-value
Q5: The error of rejecting a true
Q6: In hypothesis testing,
A)the smaller the Type I
Q7: The p-value is a probability that measures
Q8: The critical value of t for a
Q9: The p-value
A)is the same as the Z
Q10: What type of error occurs if you
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