Study reveals larger sample sizes crucial for accurate statistical analysis.
Sample size affects how accurately we estimate information from a group. By analyzing statistical power, we can figure out how many observations are needed to avoid errors in testing hypotheses. The best results come from studying big effects with a large sample size.