Final answer:
The sampling rate of a report can be altered by adjusting the number of data points plotted in the graph. A ±3 percent margin in the context of a poll suggests the range where the true value might lie. To reduce sampling error, use the reporting interface to adjust the report's precision.
Step-by-step explanation:
Adjusting the sampling rate of a report when it is based on data from a large number of sessions can be critical for achieving the desired level of detail and precision. One way to reduce sampling error is by altering the number of points plotted on a graph. In the context of an unemployment rate graph, for example, using five-year averages can make the line appear smoother and reduce apparent variation. However, if monthly data is used instead, as shown in monthly unemployment figures since 1960, this will result in a graph that fluctuates more due to the increased number of data points.
To lower the sampling error and possibly adjust a report's precision, you can typically make adjustments in the reporting interface of most analytics platforms, allowing for greater or less precision depending on your requirements. The ±3 percent margin mentioned in the context of a poll indicates the range within which the true value is expected to lie with a certain level of confidence, indicating that the actual percentage could be 3 percent higher or lower than the reported value.