Sampling errors are related to the accuracy of data, whereas nonsampling errors relate to the representativeness of a sample to a defined target population. True False

FALSE

Step-by-step explanation:

Hi, the statement is false. It's the absolute opposite.

The correct statement is.

Sampling errors are related to the representativeness of a sample to a defined target population.

This occurs when the statistical characteristics of a population are estimated from a sample; there will be always a difference between the values of the sample and the actual population.

Whereas nonsampling errors relate to the accuracy of data

This occurs when there are errors during the data collecting, and it results in non-true values.

Feel free to ask for more if needed or if you did not understand something.