What are the main causes of sampling error?

What are the main causes of sampling error?

Sampling error occurs when a sample does not accurately represent the population. Key causes include sample size, selection bias, and variability.

How does sample size affect sampling error?

A smaller sample size increases the likelihood of sampling error because it may not capture the diversity of the population.

What is selection bias?

Selection bias happens when certain members of a population are more likely to be included in the sample, leading to skewed results.

Can you give an example of variability?

Sure! If you're surveying people's heights, a sample taken from a basketball team will have higher average heights than the general population.

How can I reduce sampling error in my research?

To reduce sampling error, increase your sample size, ensure random selection, and stratify your sample if necessary.