Which sampling method is typically used for estimating the rate of a characteristic in a population (attribute sampling)?

Which sampling method is typically used for estimating the rate of a characteristic in a population (attribute sampling)?

• A. Discovery sampling
• B. Attribute estimation sampling
• C. Variable estimation sampling
• D. Sequential sampling

Answer: (B)

Estimating how often a characteristic occurs in a population is done with attribute estimation sampling. In this approach you examine each unit for a binary attribute—present or not—and use the observed proportion to estimate the population rate, with confidence bounds and tolerable misstatement. This differs from variable estimation sampling, which aims to estimate a numerical monetary amount rather than a proportion. Discovery sampling focuses on locating at least one misstatement rather than estimating how common misstatements are. Sequential sampling is about deciding when to stop sampling, not specifically about estimating a rate. Therefore, attribute estimation sampling is the best fit for estimating the rate of a characteristic.

Estimating how often a characteristic occurs in a population is done with attribute estimation sampling. In this approach you examine each unit for a binary attribute—present or not—and use the observed proportion to estimate the population rate, with confidence bounds and tolerable misstatement. This differs from variable estimation sampling, which aims to estimate a numerical monetary amount rather than a proportion. Discovery sampling focuses on locating at least one misstatement rather than estimating how common misstatements are. Sequential sampling is about deciding when to stop sampling, not specifically about estimating a rate. Therefore, attribute estimation sampling is the best fit for estimating the rate of a characteristic.