Unrepresentative sample, not faulty collection, makes missing data a sampling error. The correct answer is: B).
Missing data points in a sample arise from selecting an unrepresentative subset of the population, leading to inaccurate conclusions about the whole population. This is a sampling error, not an error in data collection, measurement, or interpretation.
Here's why the other options are incorrect:
Data collection error: This occurs when data is recorded incorrectly during collection, such as typos or malfunctioning instruments. It doesn't necessarily involve missing data.
Measurement error: This occurs when the measurements themselves are imprecise or inaccurate, leading to biased data values. It doesn't involve missing data points.
Interpretation error: This occurs when the data is analyzed or interpreted incorrectly, leading to misleading conclusions. It doesn't involve missing data itself.
Therefore, missing data points point to a problem with the selection process, making sampling error the most appropriate answer.
The correct answer is: B) Sampling error.