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MCQs
6530 questions found
A.
The probability of making a Type II error.
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B.
The probability of correctly rejecting the null hypothesis.
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C.
The threshold below which a p-value is considered statistically significant.
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D.
The power of the test.
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A.
To proceed with the small sample size.
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B.
To urgently advise that an underpowered study is unethical and a waste of resources, as it has a high chance of missing a true effect (Type II error).
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C.
To only consider the cost of the trial.
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D.
To assume the drug will work anyway.
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A.
There is very strong evidence against the null hypothesis.
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B.
There is weak evidence against the null hypothesis.
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C.
The null hypothesis is true.
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D.
The drug is harmful.
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A.
Independent samples t-test.
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A.
Population distribution.
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B.
Sample distribution.
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C.
Sampling distribution of the mean.
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D.
Normal distribution.
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A.
To accept the mean as the best measure.
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B.
To urgently recommend using the median as a more robust measure of central tendency for skewed data to avoid misrepresenting the typical income.
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C.
To ignore the skewness.
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D.
To only use the mode.
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B.
Non-inferiority test.
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A.
Independent samples t-test.
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C.
Chi-square test of independence.
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D.
Interquartile range.
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A.
To immediately recommend the drug.
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B.
To urgently explain that while statistically significant, the clinical relevance of such a small effect size is questionable and might not justify the drug's cost or side effects.
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C.
To only focus on the p-value.
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D.
To assume statistical significance equals clinical importance.
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B.
Logistic regression.
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D.
Cox proportional hazards regression.
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A.
Independent samples t-test.
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A.
Analysis of Variables.
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B.
Analysis of Variance.
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D.
Analysis of Variation.
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A.
To accept the strong correlation as is.
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B.
To urgently explain that Pearson's correlation coefficient only measures linear association, and a non-linear relationship might be missed or misinterpreted.
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C.
To ignore the scatter plot.
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D.
To assume all relationships are linear.
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A.
One-tailed (right-tailed) test.
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B.
One-tailed (left-tailed) test.
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D.
Non-directional test.
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B.
Independent samples t-test.
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C.
Regression analysis (likely linear, but could explore other distributions if warranted).
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C.
Continuous variables.
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A.
To immediately accept the results.
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B.
To urgently highlight the potential for observer bias and the need for objective outcome measures or blinded assessment to ensure validity.
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C.
To disregard the p-value.
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D.
To assume clinician assessment is always objective.
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A.
Independent samples t-test.
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C.
Z-test for two proportions or Chi-square test.
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