What are the implications of sample size in research?

What are the implications of sample size in research?

Sample size affects the reliability and validity of research results. A larger sample size generally leads to more accurate estimates.

How does a small sample size impact the results?

A small sample size can lead to higher variability and less confidence in the results, increasing the risk of Type I and Type II errors.

What is the ideal sample size for a study?

The ideal sample size depends on the study's objectives, the population size, and the desired level of precision. Statistical power analysis can help determine it.

Can you give an example of a study with a small sample size?

Sure! A clinical trial with only 10 participants may struggle to provide conclusive evidence about a treatment's effectiveness.

What methods can be used to increase sample size?

Methods include recruiting more participants, using data from previous studies, or employing techniques like stratified sampling.