# Probability

Khan Academy Course , Prof. Salman Khan

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# Overview

Probability explained | Independent and dependent events - Probability with playing cards and Venn diagrams - Addition rule for probability - Finding probability example 2 - Compound probability of independent events - Coin flipping probability - Probability without equally likely events - Getting exactly two heads (combinatorics) - Exactly three heads in five flips - Frequency Stability - Generalizing with binomial coefficients (bit advanced) - Probability - Dependent probability example - Permutations - Combinations - Probability using combinations - Probability and combinations - Conditional probability and combinations - Birthday probability problem - Introduction to Random Variables - Probability density functions - Binomial Distribution - Expected Value: E(X) - Expected value of binomial distribution - Poisson process - Law of large numbers - Term life insurance and death probability - Mega millions jackpot probability - Free throwing probability - Three pointer vs free throwing probability

### Lecture 32: Binomial Distribution 4

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# Lecture Details

Using Excel to visualize the basketball binomial distribution More free lessons at httpwww.khanacademy.orgvideo?v=H0ZgOGWUcJw

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