Final answer:
Nonsampling errors are sources of error that come from sources other than the sample selection method and sample size. These errors can include human mistakes, such as poor study design, biased sampling methods, inaccurate information provided by participants, and data entry errors.
Step-by-step explanation:
Nonsampling errors are sources of error that come from sources other than the sample selection method and sample size. These errors can include human mistakes, such as poor study design, biased sampling methods, inaccurate information provided by participants, and data entry errors. For example, using a defective counting device can cause a nonsampling error. It is important to be aware of these errors when analyzing data to ensure the reliability of the results.