Home MCQs BS Nursing
A.
The drug definitely increases the biomarker.
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B.
The drug definitely decreases the biomarker.
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C.
The confidence interval includes zero, suggesting no statistically significant effect of the drug on the biomarker.
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D.
The drug is highly effective.
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A.
The null hypothesis of no effect is likely true.
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B.
The null hypothesis of no effect can be rejected because the interval does not include zero.
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C.
The drug is harmful.
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D.
The confidence interval is too wide.
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A.
Alternative hypothesis.
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B.
Research hypothesis.
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D.
Statistical hypothesis.
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A.
To immediately stop the trial because of small benefits.
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B.
To weigh the statistical significance against the clinical relevance and potential harms, recognizing that a statistically significant effect may not be clinically meaningful.
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C.
To continue the trial regardless of clinical significance.
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D.
To only consider the p-value.
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A.
Simple linear regression.
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B.
Multiple linear regression.
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C.
Multiple logistic regression.
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A.
The null hypothesis assumes the new drug is inferior by a pre-specified margin.
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B.
The null hypothesis assumes the new drug is superior.
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C.
The significance level is ignored.
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D.
Non-inferiority trials do not use hypothesis testing.
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C.
Normally distributed.
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A.
Simple linear regression.
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B.
Multiple linear regression.
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A.
It makes it easier to recruit participants.
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B.
It often necessitates a very large sample size to detect a meaningful effect, which can be challenging to achieve.
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C.
Sample size is irrelevant for rare diseases.
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D.
It means the drug will always be effective.
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C.
Independent samples t-test.
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A.
The new drug is definitely better.
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B.
There is no statistically significant difference between the two treatments.
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C.
The standard treatment is better.
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D.
The study is invalid.
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D.
Interquartile range.
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A.
The probability of making a Type I error is 20%.
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B.
The probability of correctly rejecting the null hypothesis when it is false is 80%.
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C.
The probability of making a Type II error is 80%.
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D.
The significance level is 0.20.
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