Khan Academy, , Prof. Salman Khan
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Updated On 02 Feb, 19
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
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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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Sep 12, 2018
Excellent course helped me understand topic that i couldn't while attendinfg my college.
March 29, 2019
Great course. Thank you very much.