MCQs
11262 questions found
A.
The p-value is too high.
✓
B.
The study had too much power.
✓
C.
Loss to follow-up can introduce bias and threaten the internal validity of the study.
✓
D.
The drug is definitely effective.
✓
A.
Independent samples t-test.
✓
C.
Chi-square test of independence.
✓
A.
Descriptive statistics.
✓
B.
Inferential statistics.
✓
A.
Simple linear regression.
✓
B.
Multiple linear regression.
✓
C.
Logistic regression.
✓
A.
Statistical significance always implies clinical significance.
✓
B.
Statistical significance does not always imply clinical significance.
✓
C.
The study had too many participants.
✓
D.
The p-value is too low.
✓
A.
The probability of making a Type I error is 20%.
✓
B.
The probability of correctly rejecting the null hypothesis when it is false is 80%.
✓
C.
The probability of making a Type II error is 80%.
✓
D.
The significance level is 0.20.
✓
D.
Interquartile range.
✓
A.
The new drug is definitely better.
✓
B.
There is no statistically significant difference between the two treatments.
✓
C.
The standard treatment is better.
✓
D.
The study is invalid.
✓
A.
Independent samples t-test.
✓
C.
Chi-square test of independence.
✓
A.
Binomial distribution.
✓
B.
Poisson distribution.
✓
C.
Normal distribution, regardless of the population distribution.
✓
D.
Uniform distribution.
✓
B.
Independent samples t-test.
✓
C.
Pearson correlation.
✓
A.
A smaller sample size will be needed.
✓
B.
A larger sample size will be needed to detect a statistically significant difference.
✓
C.
The standard deviation is irrelevant to sample size.
✓
D.
The study should be abandoned.
✓
A.
Reject the null hypothesis.
✓
B.
Fail to reject the null hypothesis.
✓
C.
Accept the alternative hypothesis.
✓
D.
The result is statistically significant.
✓
B.
Interquartile range.
✓
B.
Logistic regression.
✓
A.
Independent samples t-test.
✓
C.
Chi-square test of independence.
✓
