Missing some of the data points in the sample is a:

Question

sampling error.

measurement error.

interpretation error.

data collection error.

Answer 1

Missing some of the data points in a sample is a sampling error. This type of error occurs when the sample drawn from the population does not fully represent the population, which can lead to incomplete or biased results. However, depending on the context, it could also relate to data collection error if the missing data is due to issues during the data gathering process.