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11212 questions found
A.
Binomial distribution.
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B.
Poisson distribution.
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C.
Normal distribution.
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D.
Uniform distribution.
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C.
Pie chart or bar chart.
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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.
Descriptive statistics.
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C.
Inferential statistics.
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A.
Independent samples t-test.
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A.
Small sample size makes the finding more reliable.
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B.
Small sample size can lead to unstable estimates and findings that may not replicate in larger studies.
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C.
The p-value is always accurate regardless of sample size.
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D.
The study had high power.
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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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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.
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.
Alternative hypothesis.
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B.
Research hypothesis.
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D.
Statistical hypothesis.
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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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