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MCQs
11262 questions found
A.
Logistic regression.
✓
B.
Simple linear regression.
✓
D.
Survival regression.
✓
A.
To immediately abandon the therapy.
✓
B.
To urgently consider the implications of low power (high risk of Type II error) and the need for a larger, adequately powered trial before discarding a potentially beneficial therapy.
✓
C.
To fund a smaller, less expensive trial.
✓
D.
To rely solely on the current non-significant p-value.
✓
A.
Statistical significance.
✓
B.
Clinical significance.
✓
C.
Accuracy (lack of bias) over precision.
✓
A.
Independent samples t-test.
✓
D.
Spearman's rank correlation or a non-parametric test for association.
✓
C.
Confidence interval.
✓
A.
Simple linear regression.
✓
B.
Logistic regression.
✓
C.
Multiple linear regression.
✓
A.
The probability of making a Type I error.
✓
B.
The probability that the confidence interval contains the true population parameter.
✓
C.
The power of the test.
✓
B.
Logistic regression.
✓
D.
Survival regression.
✓
A.
Small sample size and low power are sufficient.
✓
B.
A very large sample size and high power are critically needed.
✓
C.
Sample size is irrelevant for small effects.
✓
D.
The study should not be conducted.
✓
A.
Independent samples t-test.
✓
C.
Parameter estimation.
✓
A.
Reject the null hypothesis.
✓
B.
Fail to reject the null hypothesis.
✓
C.
The drug is effective.
✓
D.
The drug is ineffective.
✓
A.
The standard deviation of the population.
✓
B.
The standard deviation of the sample.
✓
C.
The standard deviation of the sampling distribution of the sample mean.
✓
D.
The range of the data.
✓
A.
To immediately implement the intervention.
✓
B.
To recognize that a p-value of 0.07 is not statistically significant at the 0.05 level, and further data or a larger study is urgently needed to make a definitive decision.
✓
C.
To ignore the p-value and proceed.
✓
D.
To assume the trend will continue.
✓
A.
Non-inferiority test.
✓
