Generally,there is great potential for large nonsampling error to occur during the:
A)Sampling data stage.
B)Planning stage.
C)data collection stage.
D)Data analysis stage.

Question

Quizplus · Accepted Answer

Non-sampling error refers to errors that can occur during data collection, such as errors in measurement or response errors. Therefore, the highest potential for large nonsampling error occurs during the data collection stage. While planning and sampling data stages can also have errors, they generally occur during the sampling process and do not have as great of an impact on the overall data as errors during data collection. The data analysis stage can also have errors, but these generally occur due to mistakes made during statistical analysis, rather than errors in the actual data itself.

Generally,there Is Great Potential for Large Nonsampling Error to Occur