The sample size plays a crucial role in the accuracy and reliability of a study's findings. A larger sample size generally leads to more precise estimates of population parameters and higher statistical power, reducing the likelihood of Type I and Type II errors. Conversely, a small sample size can compromise the validity of the results.
