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Statistics, which quantify the central tendency, variability, distribution, and correlations amongst attributes within a data sample, can offer an correct picture on the corresponding parameters of your entire inhabitants from which the sample is drawn dependant on sample measurement and distribution.
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In contrast, inferential statistics takes advantage of a variety of methods to relate variables in a knowledge established to one another, like correlation or regression Examination. These can then be used to create predictions or infer causality.
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