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Descriptive statistics helps us explain, summarizes and current information extracted from data. This subject covers principles connected to steps of central tendency, actions of variability, actions of frequency, form of distribution and many information visualization techniques/tools such as pivot tables, charts, and graphs.
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While descriptive statistics help us explain and summarize the attributes of data, inferential statistics help us make inferences or estimates with regard to the populace and are available to conclusions regarding the population according to the sample details. This subject addresses the fundamentals of inferential statistics, all kinds of hypotheses checks and their self-confidence intervals, design of experiments and statistical energy and mistakes.
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