STT 231 Test Questions and Answers | 2026 Update
| 100% Correct
How does sample size influence the estimated effect size?
No effect
How does sample size influence degrees of freedom?
increase in sample size, increase in degrees of freedom
How does sample size effect the value of the test statistic "t"?
increase in sample size, increase in test statistic
How does sample size influence the p-value?
as sample size increases, p-value decreases
How does sample size influence MoE of your confidence interval?
sample size increases, MoE of CI decreases
Decide in favor of H0 when HA is true
Type 2 error
Decide in favor of HA when H0 is true
Type 1 error
Decide in favor of HA when HA is true
sensitivity/power
Decide in favor of H0 when H0 is true
, specificity
As the confidence interval increases from 95% to 99%, the width becomes...
Wider
As the confidence interval decreases from 99% to 95%, the width becomes...
Narrower
A p-value where p>0.10 means...
we have little evidence against the null
A p-value where 0.05<p≤0.10 means...
we have some evidence against the null
A p-value where 0.01<p≤0.05 means...
we have strong evidence against the null
A p-value where 0.001<p≤0.01 means...
we have very strong evidence against the null
A p-value where p≤0.001 means...
we have extremely strong evidence against the null
We fail to reject the null hypothesis if our p-value...
if p-value >0.05
We reject the null hypothesis if our p-value...
| 100% Correct
How does sample size influence the estimated effect size?
No effect
How does sample size influence degrees of freedom?
increase in sample size, increase in degrees of freedom
How does sample size effect the value of the test statistic "t"?
increase in sample size, increase in test statistic
How does sample size influence the p-value?
as sample size increases, p-value decreases
How does sample size influence MoE of your confidence interval?
sample size increases, MoE of CI decreases
Decide in favor of H0 when HA is true
Type 2 error
Decide in favor of HA when H0 is true
Type 1 error
Decide in favor of HA when HA is true
sensitivity/power
Decide in favor of H0 when H0 is true
, specificity
As the confidence interval increases from 95% to 99%, the width becomes...
Wider
As the confidence interval decreases from 99% to 95%, the width becomes...
Narrower
A p-value where p>0.10 means...
we have little evidence against the null
A p-value where 0.05<p≤0.10 means...
we have some evidence against the null
A p-value where 0.01<p≤0.05 means...
we have strong evidence against the null
A p-value where 0.001<p≤0.01 means...
we have very strong evidence against the null
A p-value where p≤0.001 means...
we have extremely strong evidence against the null
We fail to reject the null hypothesis if our p-value...
if p-value >0.05
We reject the null hypothesis if our p-value...
