A researcher uses a 95% confidence interval to test whether an odds ratio of 1.8 is statistically significant (95% CI = 1.3 – 2.6). If the researcher wishes to be more confident and uses a 99% CI, with the same N in each group, the 99% confidence interval will be: A. Narrower because we will have more confidence in the interval. B. Wider, because to be more confident with the same interval you would need a larger sample size. C. Neither. A researcher conducts a prospective cohort study and obtains a Rate Ratio of 2.44 (95% CI 0.81-5.22). In reality there is truly a difference between the exposed group and the unexposed group (the null hypothesis is false). Based on the information provided by the researcher we see that no error has been made. A. True B. False
A researcher uses a 95% confidence interval to test whether an odds ratio of 1.8 is statistically significant (95% CI = 1.3 – 2.6). If the researcher wishes to be more confident and uses a 99% CI, with the same N in each group, the 99% confidence interval will be:
A. Narrower because we will have more confidence in the interval.
B. Wider, because to be more confident with the same interval you would need a
larger sample size.
C. Neither.
A researcher conducts a prospective cohort study and obtains a Rate Ratio of 2.44 (95% CI 0.81-5.22). In reality there is truly a difference between the exposed group and the unexposed group (the null hypothesis is false). Based on the information provided by the researcher we see that no error has been made.
A. True
B. False
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