Population Variability
Population variability refers to the degree to which individuals in a population differ from each other. In data science, population variability is a measure of the spread of a dataset. It is calculated by finding the variance or standard deviation of a population. A high population variability indicates that the data points are spread out over a wide range, while a low population variability indicates that the data points are clustered closely together. Population variability is an important concept in statistical analysis, as it can affect the accuracy of predictions and the validity of statistical tests. Understanding population variability can help data scientists make informed decisions about which statistical methods to use and how to interpret the results.
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