11 Questions | Total Attempts: 84  Settings  • 1.
When comparing two groups in a sample, an insignificant p-value indicates
• A.

This (sample) difference could have easily occurred even if the two (population) groups were the same

• B.

The two groups do not differ in the population

• C.

The two groups do not differ in the sample

• D.

This (sample) difference could have easily occurred even if the two (population) groups were the completely different

• 2.
Which of the following is an unacceptable interpretation of a statistically non-significant variable?
• A.

We can’t confidently tell the effect of this item

• B.

We can’t tell if the population groups that differ based on this item also differ in the outcome variable

• C.

The population groups that differ based on this item do not differ in the outcome variable

• D.

This (sample) difference could have easily occurred even if the population showed no difference

• 3.
A 95% confidence interval indicates that
• A.

The true population value is within 95% of the range of this confidence interval

• B.

This confidence interval is within 95% of the true population

• C.

The mean of the sample is within 95% of the mean of the confidence interval

• D.

If you kept taking random samples, 95% of the time the sample value would appear inside the confidence interval associated with each sample

• E.

If you kept taking random samples, 95% of the time the true (population) value would appear inside the confidence interval associated with each sample

• 4.
If we analyzed 100 random variables with inferential statistics, how many of them would we expect to be statistically significantly associated with a random outcome?
• A.

All of them

• B.

None of them

• C.

• D.

• E.

• 5.
If a researcher tests 100 variables to find two statistically significant factors, but then reports that he only tested those two variables, the associated p-values are not valid due to the statistical problem of
• A.

Multiple comparisons

• B.

Statistical significance

• C.

Lying bastards

• D.

Statistical magnitude

• E.

Correlation

• 6.
Why might a relationship of high significance but tiny magnitude not have any practical importance?
• A.

Because the relationship is likely due to random chance

• B.

Because even if the relationship exists, the effect of the relationship might be so small that we don’t care

• C.

Because the relationship is likely impaired by multiple comparison

• D.

Because highly significant relationships cannot actually have very small magnitude

• E.

Because practical importance requires statistical significance

• 7.
Even if we don’t know the underlying statistical methodology, a statistically significant negative coefficient can usually tell all of the following EXCEPT,
• A.

The associated variable is negatively related to the outcome

• B.

The associated variable has an opposite relationship with the outcome as compared with another significant positive variable

• C.

The associated variable is probably more strongly negative in its association with the outcome than another variable with a much smaller negative coefficient where both variables have similar standard error

• D.

The associated variable causes the outcome

• 8.
When is an odds ratio negative?
• A.

When in the sample, the variable of interest is higher when the outcome variable is lower

• B.

When in the sample, the variable of interest is lower when the outcome variable is higher

• C.

When in the sample, the variable of interest is higher when the outcome variable is higher

• D.

When in the sample, the variable of interest is lower when the outcome variable is lower

• E.

Never

• 9.
Which academic search engine will give you the largest number of documents related to your academic search?
• A.

• B.

Web of Science

• C.

Econ Lit

• D.

Blackboard

• E.

Psychtoolbox

• 10.
Statistical significance tells us
• A.

The chance that the association found was due to an unusual random sample from a population in which there was no underlying association

• B.

The chance that the association found has practical significance

• C.

The chance that the association found was due to an unusual random sample from a population in which there was an underlying association

• D.

The magnitude of the underlying association

• E.

If there is a causal relationship between the significant factor and the measured outcome

• 11.
A p-value of less than .05 (p<.05) means
• A.

There is greater than a 5% chance that the result was caused by an unusual random sample where there was no actual (population) difference

• B.

There is less than a .05% chance that the result was caused by an unusual random sample where there was no actual (population) difference

• C.

There is less than a .05% chance that the result was caused by an unusual random sample where there was no actual (population) difference

• D.

There is less than a 5% chance that the result was caused by an unusual random sample where there was no actual (population) difference

• E.

There is a causal relationship between the significant factor and the measured outcome

Related Topics Back to top