1, sample size difference; small sample refers to the case of a small sample size, large sample refers to the case of a large enough sample size. There is no fixed standard for specific sample size boundaries, which can vary depending on the field of study and the specific question.

2, the scope of application of the difference; small samples are common in biomedical research, psychological research and other fields, less than 30 or 50 sample size may be regarded as a small sample. Large samples are commonly used in fields such as big data analysis and financial statistics, where the sample size can reach millions or even hundreds of millions.