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Descriptive statistics helps us describe, summarizes and present details extracted from information. This subject addresses concepts associated with steps of central tendency, steps of variability, measures of frequency, shape of distribution and some facts visualization methods/applications such as pivot tables, charts, and graphs.
Chance and random processes covers a wide variety of content from sample Place and kinds of occasions to the basic procedures of likelihood, the basic counting basic principle, conditional chance, Bayes' theorem, and determination trees to likelihood distributions and functions of random variables to stochastic procedures together with Markov procedures and simulation solutions.
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