What are some examples of sampling bias?

What are some examples of sampling bias?

Sampling bias occurs when certain members of a population are systematically more likely to be selected for a study than others. For example, if a survey about health is conducted only in a gym, it may not accurately represent the general population's health.

Can you give me another example?

Sure! If a researcher surveys only people who attend a particular event, like a music festival, they might miss the opinions of those who don't attend such events, leading to biased results.

How can sampling bias affect research outcomes?

Sampling bias can lead to inaccurate conclusions, as the results may not reflect the true characteristics of the entire population, potentially skewing policy decisions or scientific understanding.

What can researchers do to avoid sampling bias?

Researchers can use random sampling methods, ensure diverse participant recruitment, and stratify samples to represent different subgroups within the population.