What is the difference between sampling and non-sampling error?
Sampling error occurs when a sample does not represent the population accurately, while non-sampling error arises from other factors like data collection mistakes.
Can you give me an example of sampling error?
Sure! If a survey about a city's population only includes responses from one neighborhood, that's a sampling error.
What about non-sampling error? Can you explain that?
Non-sampling error can occur due to biases in survey questions or data entry mistakes, affecting the overall accuracy.
How can we minimize these errors in research?
To minimize sampling error, ensure a representative sample. For non-sampling error, use clear questions and double-check data entry.
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