Which statement describes confidence level in polling?

• A. The probability that the poll exactly equals the population value.
• B. The range of values within which the population parameter lies with a given level of confidence.
• C. The likelihood that the poll's results would be obtained if the survey were repeated many times.
• D. The size of the sample.

Answer: (C)

Confidence level reflects how often the method would produce intervals that capture the true population value if you could repeat the poll many times under the same conditions. It’s not the chance that a single poll result exactly equals the population value—sampling error makes exact equality virtually impossible. It’s also not the actual range you see in one poll—the confidence interval is the reported range, while the confidence level describes the long-run frequency of containing the true parameter. And it isn’t about how big the sample is; sample size affects precision, but not how we interpret the confidence level. So, the idea that aligns with confidence level is the likelihood, across many repeated samples, that the method would yield results that lead to intervals containing the true value.