👉 In statistics, "missampling" refers to a situation where the sample size is smaller than the population size. This can happen due to various reasons such as:
1.
Sampling error
: Errors in sampling can lead to misrepresentations of the actual population.
2.
Non-response bias
: Respondents who are not interested or participating may be underrepresented in the sample, leading to a different representation of the entire population.
3.
Randomization errors
: Errors during randomization (e.g