Project Management Professional (PMP) Practice Exam

What is true for statistical sampling?

1. Statistical sampling can be used to verify for each individual item in a lot, whether it can be accepted or must be rejected.

2. Attribute sampling means collection of quantitative data showing the level of conformity for each item of a sample.

3. Variables sampling includes collection of quantitative data on the degree of conformity for each item of a sample.

4. Statistical sampling is commonly used in quality assurance to examine if items of a lot conform to quality standards.

The correct answer is: Variables sampling includes collection of quantitative data on the degree of conformity for each item of a sample.

Statistical sampling involves collecting a sample of data from a larger population in order to make inferences or conclusions about the entire population. Variables sampling, specifically, involves collecting quantitative data on a specific characteristic or trait of interest for each item in the sample. This data can then be used to estimate the overall level of conformity for the entire population. Attribute sampling, on the other hand, involves collecting data on whether or not a certain characteristic or trait is present in each item in the sample, and is typically used for binary or yes/no type data. Option A is incorrect because statistical sampling is not typically used to verify acceptance or rejection for each individual item, but rather to draw conclusions about the population as a whole. Option B is incorrect because it describes attribute sampling, not statistical sampling. Option D is incorrect because it describes the use of statistical sampling in quality assurance, but does not fully encompass the various types