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Descriptive statistics helps us describe, summarizes and current information and facts extracted from info. This topic covers principles related to steps of central inclination, steps of variability, measures of frequency, condition of distribution and many facts visualization strategies/equipment which include pivot tables, charts, and graphs.

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Likelihood and random processes handles a wide range of content from sample Area and types of functions to The essential guidelines of chance, the elemental counting principle, conditional likelihood, Bayes' theorem, and selection trees to likelihood distributions and capabilities of random variables to stochastic processes like Markov procedures and simulation strategies.

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