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# Probability

Khan Academy, , Prof. Salman Khan

Updated On 02 Feb, 19

##### 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 5: Compound probability of independent events

4.1 ( 11 )

###### Lecture Details

Youll become familiar with the concept of independent events, or that one event in no way affects what happens in the second event. Keep in mind, too, that the sum of the probabilities of all the possible events should equal 1.

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Probability and statistics on Khan Academy We dare you to go through a day in which you never consider or use probability. Did you check the weather forecast? Busted! Did you decide to go through the drive through lane vs walk in? Busted again! We are constantly creating hypotheses, making predictions, testing, and analyzing. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will cover a range of topics, some which include independent events, dependent probability, combinatorics, hypothesis testing, descriptive statistics, random variables, probability distributions, regression, and inferential statistics. So buckle up and hop on for a wild ride. We bet youre going to be challenged AND love it!

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