What type of survey might exhibit sampling bias?

A survey focused on a homogenous group exemplifies a situation where sampling bias is likely to occur. This type of survey limits the diversity of perspectives and experiences by concentrating on a specific subgroup of the population. When the surveyed group lacks variety, the results may not accurately reflect the broader population’s views, experiences, or behaviors.

For instance, if a survey only includes individuals from a single ethnic background, the findings could only represent that subgroup's opinions rather than capturing the full spectrum of insights from other demographics. This homogeneity can skew the results and undermine the validity of conclusions drawn from the survey.

In contrast, a survey that includes all demographic groups aims for representation across a spectrum, reducing the risk of bias. Conducting a survey online poses risks of selection bias based on access to technology, but it does not inherently create a homogenous sample. Randomized selection is explicitly designed to mitigate bias by ensuring that every individual in the population has an equal chance of being included, further supporting the accuracy and validity of the survey findings.