Population
In Data Science, population refers to the entire set of individuals, objects, or events that we are interested in studying. It is the complete collection of all the elements that we want to analyze and draw conclusions about. In statistical analysis, we often use a sample of the population to make inferences about the entire population. The size of the population can vary depending on the research question and the scope of the study. In machine learning, population can refer to the set of all possible instances that the model can encounter during training or testing. The population can be finite or infinite, and it can be homogeneous or heterogeneous in terms of its characteristics.
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- T-distribution: In statistics, the t-distribution is a probability distribution that is used to estimate population parameters when the sample size is small and/or the population standard deviation is unknown. It is a type of continuous probability distrib ... Read More >>
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