The standard error measures the accuracy with which a sample distribution represents a population by indicating the degree of variability or dispersion present in the sample.
Statistical inference is the process of drawing conclusions about population properties based on a sample of the data. It involves using statistical methods to estimate population parameters, test hypotheses, and make predictions or generalizations.
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