Multiple Choice
How can a researcher make a non-parametric test more powerful (less likely to miss a true relationship between variables) ?
A) Use a more rigorous rejection level such as .01 or .005.
B) Use a larger research sample.
C) Select the rejection region only after the results of the test are known.
D) all of the above
Correct Answer:
Verified
Correct Answer:
Verified
Q2: The central limit theorem states that, if
Q3: Statistical tests of inference<br>A) all produce a
Q4: Confidence intervals for very large samples are
Q5: When using a rejection level of .05,
Q6: How do parametric tests differ from non-parametric
Q8: In which sample size is there likely
Q9: What is a requirement for use of
Q10: Which statement about sampling distributions is correct?<br>A)
Q11: Why are non-parametric tests often well-suited for
Q12: In a sampling distribution, the formula for