Which term is the standard measure of how accurately poll results reflect the population?

Which term is the standard measure of how accurately poll results reflect the population?

• A. Margin of Error (MOE)
• B. Confidence Interval
• C. Sampling Error
• D. Coverage Error

Answer: (A)

Understanding poll accuracy centers on the margin of error. The margin of error is the standard measure of how far poll results may be from the true population value. It expresses the precision of the estimate, and polls are typically reported as a sample proportion plus or minus this margin, which defines a confidence interval around the estimate (often at 95% confidence). For example, if 52% support X with a margin of error of ±3 percentage points, the true support in the population is likely between 49% and 55% at that confidence level. The margin of error reflects sampling variability—the larger the sample, the smaller the MOE. The confidence interval is the actual range described by the MOE and the estimate; the MOE is the half-width of that interval. Other terms describe different issues: sampling error is the broader random variation from using a sample, and coverage error comes from problems with who is in the sampling frame.

Understanding poll accuracy centers on the margin of error. The margin of error is the standard measure of how far poll results may be from the true population value. It expresses the precision of the estimate, and polls are typically reported as a sample proportion plus or minus this margin, which defines a confidence interval around the estimate (often at 95% confidence). For example, if 52% support X with a margin of error of ±3 percentage points, the true support in the population is likely between 49% and 55% at that confidence level. The margin of error reflects sampling variability—the larger the sample, the smaller the MOE. The confidence interval is the actual range described by the MOE and the estimate; the MOE is the half-width of that interval. Other terms describe different issues: sampling error is the broader random variation from using a sample, and coverage error comes from problems with who is in the sampling frame.