Final answer:
A confidence interval that does not contain the integer 1 indicates that the result is statistically significant, assuming the confidence interval relates to a parameter like a risk ratio where 1 would indicate no effect.
Step-by-step explanation:
If the confidence interval for an estimate of risk does not contain the integer 1, then the result is A) Statistically significant. This is because a confidence interval represents a range in which we can say with a certain level of confidence, such as 95% or 99%, that the true value of the parameter we're estimating lies within that range. Confidence intervals are constructed around a point estimate and involve a margin of error that depends on the desired confidence level and the standard error of the mean. If the confidence interval does not include a certain value (such as the number 1 for risk ratios), it suggests that the observed effect or difference is unlikely to be due to chance alone and therefore the result is statistically significant.