Posted by **John** on Saturday, March 29, 2014 at 12:33pm.

Which of these statements is always true for a researcher who is using standard statistical

methods in a test of significance?

A. A researcher who rejects a true null hypothesis has committed a Type II error.

B. A researcher who rejects the null hypothesis has computed a test statistic that is negative

in value.

C. A researcher who rejects the null hypothesis has computed a P-value that is large in

value.

D. Increasing the sample size affects the probability of making a Type I error.

E. None of the above is true.

I have been trying this problem for hours and cannot understand it. Please help

- Statistics -
**Anonymous**, Tuesday, March 24, 2015 at 8:51pm
b

## Answer this Question

## Related Questions

- Statistics - A statistical test is performed, and its P-value turns out to be ...
- Business Statistics - In a goodness-of-fit test, the null hypothesis states that...
- Statistics - What does it mean when a researcher chooses the cutoff in a ...
- statistics - A researcher wants to carry out a hypothesis test involving the ...
- statistics - To test H0:µ =80 versus H1:µ < 80, a simple random sample of ...
- Stats - A statistical test is performed, and its P-value turns out to be about 3...
- Statistics - I have a question that involves explaining what is wrong in each of...
- sti - A researcher plans to use a sample of 500 men and women attending a well-...
- math/stats - Which of the following statements are true? (A) In a two-tail test ...
- statistics - A researcher is testing a null hypothesis that states: H: ì = 50. A...

More Related Questions