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Statistical inference is the process of drawing conclusions about unknown characteristics of  a population from which data are taken.

What is statistical inference?

Statistical inference refers to the process of using data analysis to infer properties of an underlying probability distribution. Inferential statistical analysis is used to infer population properties, such as by testing hypotheses and calculating estimates. It is assumed that the observed data set is drawn from a larger population. Descriptive statistics are opposed to inferential statistics. Descriptive statistics is solely concerned with the properties of the observed data and does not assume that the data come from a larger population.

What is Descriptive Statistics?

Descriptive statistics are short informational coefficients that summaries a specific data set, which can be a representation of the entire population or a sample of a population. The goal of descriptive         statistics is to summaries a sample rather than learn about the population that the sample of data is thought to represent.

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