Multiple Choice
A statistical significance test that is based on a small sample may not produce a result that is statistically significant even if the true value of the coefficient is different from the value in the null hypothesis. Such a situation is:
A) Power of the test
B) Type I Error
C) Type II Error
D) Significance level of the test
Correct Answer:
Verified
Correct Answer:
Verified
Q1: In hypothesis testing, what we really care
Q2: Describe what a power curve is, and
Q3: We fail to reject the null hypothesis
Q5: Assume that the two-sided 95% confidence interval
Q6: Describe the relationship between sample size and
Q7: Explain what the distribution of <sub>1</sub> is
Q8: Statistical tools allow us to prove the
Q9: A null hypothesis of H<sub>0</sub>: \beta =
Q10: Explain the difference between statistical significance and
Q11: Reducing the significance level (alpha) will:<br>A) Will