The first part of the course introduces basic concepts of probability theory, basic rules of probability, combinatory, conditional probability, discrete and continuous random variables and the central limit theorem. The second part focuses on statistical inference and includes descriptive statistics, sampling distribution, point estimation, confidence intervals, hypothesis testing, goodness of fit tests, tests of independence, and simple linear regression. 

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