Question

The measurement of sampling error is usually called:

• A. Significance level
• B. Confidence level
• C. Precision of sampling plan
• D. Validation of data

Hint:

Precision of sampling plan = how close your sample gets to the true population value, measured by standard error.

Answer 1

The Correct Option is C

Sampling error is the discrepancy between a sample statistic and the true population parameter, arising due to the use of a sample rather than the entire population. The {precision of a sampling plan measures how tightly sample estimates cluster around the true population value, typically quantified by the standard error or margin of error. A higher precision indicates a smaller sampling error. In contrast, the significance level (option 1) relates to hypothesis testing, the confidence level (option 2) describes the probability that a confidence interval contains the true parameter, and validation of data (option 4) refers to checking data accuracy, not sampling error. Thus, option (3) is correct.