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 maximum acceptable probability of making a Type I error (false positive).
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D.
The power of the test.
✓
D.
Survival analysis (e.g., Kaplan-Meier or Cox regression).
✓
A.
Correlation implies causation.
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B.
The correlation is likely due to chance.
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C.
Correlation does not imply causation; confounding or other factors may be at play.
✓
D.
The study was poorly designed.
✓
A.
Independent samples t-test.
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A.
Binomial distribution.
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B.
Poisson distribution.
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C.
Normal distribution.
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D.
Exponential distribution.
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A.
To reduce the cost of the trial.
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B.
To prevent bias in the assessment of outcomes due to participant or researcher expectations.
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C.
To make data analysis easier.
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D.
To ensure all participants receive the active drug.
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C.
Correlation coefficient.
✓
C.
Independent samples t-test.
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B.
Confidence interval.
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C.
Statistical power and sample size calculation.
✓
A.
There is a 0.1% chance that the drug is ineffective.
✓
B.
The probability of observing results as extreme as, or more extreme than, those obtained, assuming the null hypothesis is true.
✓
C.
The probability that the null hypothesis is true.
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D.
The probability of making a Type I error.
✓
A.
Roy's Adaptation Model
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B.
King's Theory of Goal Attainment
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C.
Leininger's Culture Care Theory
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D.
Neuman's Systems Model
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