Home MCQs BS Nursing
A.
To proceed with the trial as is.
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B.
To urgently recommend revising or replacing the outcome measure to ensure reliable and valid data collection, crucial for the integrity of the results.
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C.
To ignore measurement issues.
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D.
To tell the clinicians to be more careful.
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A.
Independent samples t-test.
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C.
Chi-square test of independence.
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A.
Normal distribution.
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B.
Binomial distribution.
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C.
Poisson distribution.
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D.
Exponential distribution.
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A.
Small sample size and low power are sufficient.
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B.
A very large sample size and high power are critically needed.
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C.
Sample size is irrelevant for small effects.
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D.
The study should not be conducted.
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B.
Logistic regression.
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D.
Survival regression.
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A.
Law of Large Numbers.
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C.
Central Limit Theorem.
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D.
Chebyshev's Theorem.
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A.
The probability of making a Type I error.
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B.
The probability that the confidence interval contains the true population parameter.
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C.
The power of the test.
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B.
Logistic regression.
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A.
Simple linear regression.
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B.
Logistic regression.
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C.
Multiple linear regression.
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A.
The original study had too much power.
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B.
The original study might have had a Type I error, or the replication study a Type II error, or differences in methodology.
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C.
The original study was perfect.
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D.
Replication studies are never necessary.
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C.
Interquartile range (IQR).
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C.
Confidence interval.
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A.
Non-inferiority test.
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A.
To immediately implement the intervention.
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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.
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C.
To ignore the p-value and proceed.
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D.
To assume the trend will continue.
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A.
The standard deviation of the population.
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B.
The standard deviation of the sample.
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C.
The standard deviation of the sampling distribution of the sample mean.
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D.
The range of the data.
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