small sample sizes

Small sample sizes refer to a limited number of observations or subjects chosen for a study or survey. When researchers use small samples, the results may not accurately reflect the larger population, leading to potentially misleading conclusions. Smaller samples have less variability, making it harder to identify trends or differences. They can also increase the margin of error, meaning the findings might not be reliable. In general, larger sample sizes tend to provide more robust and credible results, enhancing the study's overall validity and confidence in the findings.