Which of the following best describes the 'Power of a statistical test'?

The ability for the findings of a statistical test to provide useful results in a clinical trial.

The ability for a statistical test to avoid type I error.

The ability for a statistical test to show a statistically significant finding, if in fact there is one; how to avoid type II error.

You are performing research on a new line of beta blockers to determine whether or not the beta blocker lowers blood pressure. What type of test would you use?

 

Two-tailed

Six Sigma

Chi square

One-tailed

In the same research, you want to know whether or not the beta blocker effects the serum potassium level. What type of test would you use?

 

Two-tailed

Chi square

One-tailed

Six Sigma

In formulating hypotheses for a statistical test of significance, the null hypothesis is often
A. a statement of "no effect" or "no difference."
B. the probability of observing the data you actually obtained.
C. a statement that the data are all 0.
D. 0.05.
E. the probability that the parameter value is actually U.

When testing a new treatment, what is the difference between statistical significance and practical significance? Can a treatment have statistical significance, but not practical significance?

A.) Statistical significance is related to whether common sense suggests that the treatment makes enough of a difference to Justify its use. Practical significance is achieved when the result is very unlikely to occur by chance. It is possible for a treatment to have statistical significance, but not practical significance.

B.) Statistical significance is achieved when the result is very unlikely to occur by chance. Practical significance is related to whether common sense suggests that the treatment makes enough of a difference to justify its use. It is not possible for a treatment to have statistical significance, but not practical significance

C.) Statistical significance is related to whether common sense suggests that the treatment makes enough of a difference to justify its use. Practical significance is achieved when the result is very unlikely to occur by chance. It is not possible for a treatment to have statistical significance, but not practical significance

D.) Statistical significance is achieved when the result is very unlikely to occur by chance. Practical significance is related to whether common sense suggests that the treatment makes enough of a difference to justify its use. It is possible for a treatment to have statistical significance, but not practical significance

for a test of a mean, which of the following is incorrect?

If H₀: %u03BC %u2264 100 and H₁: %u03BC > 100, then the test is right-tailed.