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Probability Additive Theorem - P(A or B) = P(A) + P(B)P(A ∪ B) = P(A) + P(B) Probability Multiplicative Theorem - P(A and B) = P(A) × P(B)P(AB) = P(A) × P(B) Probability Bayes Theorem - P(Ai / B) = P ( Ai) × P ( B / Ai) ∑ki = 1P ( Ai) × P ( B / Ai) Probability Density Function - P(a ≤ X ≤ b) = ∫baf(x)dx. … Through this Statistics tutorial you will understand various aspects of statistics, probability, probability distribution, sampling, Analysis of Variance (ANOVA), boxplots, charts, bar graphs and more. You should be familiar with the basics of … Introduction. There are some popular statistical functions defined in this module. The mean () function is used to calculate the arithmetic mean of the numbers in the list. The median () function is used to return the middle value of the numeric data in the list. The mode () function returns the most common data that occurs in the list. 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