Final answer:
The shift from a 95% to a 99% level of confidence will decrease the precision of the estimate.
Step-by-step explanation:
The shift from a 95% to a 99% level of confidence will decrease the precision of the estimate.
When constructing a confidence interval, a higher level of confidence means that we want to be more certain that the interval contains the true population parameter. In order to increase the level of confidence, we need to widen the interval, which decreases the precision of the estimate. Conversely, decreasing the level of confidence would result in a narrower interval and increased precision.