👉 missample is a term used in statistics to describe situations where an individual's data is not representative of the entire population. In other words, if a dataset contains only a small number of individuals or samples, it may not accurately reflect the characteristics and behaviors of the entire population.
Missamples can occur for a variety of reasons, such as:
1.
Data Collection Bias
: If the sample size is too small, it may not capture all aspects of the population's behavior or characteristics.
2.
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What is the definition of Missample? 🙋
What is the definition of Missampled? 🙋
👉 "Missampled" is a term used in statistics and data science to describe a situation where an individual or group of individuals are not represented in a sample of a larger population. This can happen for various reasons, such as because they are not part of the overall population being studied, have died, or are from a different country or region than the rest of the population. In this context, "missampled" refers to the fact that the individuals included in the sample are not representative of the entire
