Home MCQs BS Nursing
A.
Direct bacterial infection.
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B.
Friction and shear forces causing tissue deformation and ischemia.
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C.
Allergic reaction to bedding material.
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D.
Excessive moisture leading to maceration.
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A.
Fatty infiltration with normal liver architecture.
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B.
Widespread fibrosis and nodule formation, disrupting liver structure and function.
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C.
Acute inflammation with viral replication.
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D.
Increased bile production.
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A.
Increased urine output and hypernatremia.
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B.
Decreased urine output and hyponatremia.
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C.
Normal fluid balance with hyperkalemia.
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D.
Fluid volume deficit and hypercalcemia.
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A.
The rapid proliferation of genetically altered cells.
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B.
The irreversible genetic alteration of a cell by a carcinogen.
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C.
The spread of cancer cells to distant sites.
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D.
The formation of a visible tumor.
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A.
Respiratory acidosis.
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C.
Respiratory alkalosis.
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D.
Metabolic alkalosis.
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A.
Rupture of a cerebral blood vessel.
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B.
An embolus or thrombus obstructing cerebral blood flow.
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C.
Vasospasm of cerebral arteries.
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D.
Hypoxia due to respiratory failure.
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C.
IgE antibodies and mast cell degranulation.
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A.
Excessive insulin production leading to hypoglycemia.
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B.
Absolute or relative insulin deficiency leading to increased fat metabolism and ketone body formation.
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C.
Excessive fluid intake leading to hyponatremia.
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D.
Increased renal excretion of glucose without ketone production.
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A.
Decrease blood flow to the injured area.
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B.
Reduce capillary permeability.
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C.
Increase blood flow to the injured area, facilitating delivery of immune cells.
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D.
Constrict arterioles to limit swelling.
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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.
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.
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.
Independent samples t-test.
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C.
Chi-square test of independence.
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A.
The drug increases the hazard of the event.
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B.
The drug decreases the hazard of the event, and the result is statistically significant as the interval does not include 1.0.
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C.
The drug has no effect.
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D.
The hazard ratio is too high.
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A.
To attribute all changes to the new policy.
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B.
To urgently highlight the potential for confounding and the need to consider and, if possible, adjust for other concurrent changes.
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C.
To ignore other factors.
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D.
To assume the policy is the only cause.
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C.
Standard error of the mean.
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D.
Interquartile range.
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