Statistical Tests And Outcomes - NAPLEX
Card 1 of 5
Which outcome interpretation is correct when a $95%$ CI for an odds ratio includes $1$?
Which outcome interpretation is correct when a $95%$ CI for an odds ratio includes $1$?
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Not statistically significant at $\alpha = 0.05$. Suggests the true odds ratio could be 1, indicating no significant association at the 5% level.
Not statistically significant at $\alpha = 0.05$. Suggests the true odds ratio could be 1, indicating no significant association at the 5% level.
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Which outcome interpretation is correct when a $95%$ CI for a mean difference excludes $0$?
Which outcome interpretation is correct when a $95%$ CI for a mean difference excludes $0$?
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Statistically significant at $\alpha = 0.05$. Implies the true difference is unlikely to be zero, corresponding to rejection of the null at 5% significance.
Statistically significant at $\alpha = 0.05$. Implies the true difference is unlikely to be zero, corresponding to rejection of the null at 5% significance.
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Which option is the correct interpretation of an odds ratio of $2.0$ for exposure versus no exposure?
Which option is the correct interpretation of an odds ratio of $2.0$ for exposure versus no exposure?
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Odds are $2$ times higher with exposure than without. Indicates the odds of the outcome are doubled in the exposed group compared to the unexposed, assuming other factors are equal.
Odds are $2$ times higher with exposure than without. Indicates the odds of the outcome are doubled in the exposed group compared to the unexposed, assuming other factors are equal.
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Identify the correct conclusion when $p = 0.08$ and $\alpha = 0.05$ for a two-sided test.
Identify the correct conclusion when $p = 0.08$ and $\alpha = 0.05$ for a two-sided test.
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Fail to reject $H_0$ (not statistically significant). With $p$-value exceeding $\alpha$, insufficient evidence exists to reject the null hypothesis.
Fail to reject $H_0$ (not statistically significant). With $p$-value exceeding $\alpha$, insufficient evidence exists to reject the null hypothesis.
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Identify the correct conclusion when $p = 0.03$ and $\alpha = 0.05$ for a two-sided test.
Identify the correct conclusion when $p = 0.03$ and $\alpha = 0.05$ for a two-sided test.
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Reject $H_0$ (statistically significant). Since $p$-value is below $\alpha$, there is evidence to reject the null hypothesis of no difference.
Reject $H_0$ (statistically significant). Since $p$-value is below $\alpha$, there is evidence to reject the null hypothesis of no difference.
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