Question

Which of the following is true about nonsampling errors?

a) it cannot be measured by a formula like sampling errors.
b) it can be measured as accurately as sampling errors.
c) it can be measured if the sample plan is available.
d) it cannot be measured if the sample size is not available.
e) it can be easily controlled like sampling errors.

Answer 1

Nonsampling errors, which cover human and procedural mistakes in data collection and analysis, cannot be measured by a formula like sampling errors and are not as easily quantifiable or controllable. Option e

Step-by-step explanation:

The correct answer concerning nonsampling errors is that it cannot be measured by a formula like sampling errors. Nonsampling errors are a variety of human errors that affect the reliability of sampling data other than natural variation. This includes poor study design, biased sampling methods, inaccurate information provided by study participants, data entry errors, and poor analysis among other issues.

To reduce sampling errors, one can increase the sample size, which in turn decreases the chance errors as the sample better represents the population. Additionally, using randomized samples can mitigate bias by ensuring that every individual has an equal chance of being selected for the study. Option e