The relationship between mutually exclusive and independent events
\nIdentifying when a probability is a conditional probability in a word problem
\nProbability concepts that go against your intuition
\nMarginal, conditional, and joint probabilities for a two-way table
\nThe Central Limit Theorem:
\nWhen to use a permutation and when to use a combination
\nFinding E(X) from scratch and interpreting it
\nSampling with replacement versus without replacement
\nThe Law of Total Probability and Bayes’ Theorem
\nWhen the Poisson and exponential are needed in the same problem
\nThere are several kinds of discrete probability distributions, including discrete uniform, binomial, Poisson, geometric, negative binomial, and hypergeometric.
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