Khan Academy Course , Prof. Salman Khan

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Khan Academy Course , Prof. Salman Khan

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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Precalculus on Khan Academy You may think that precalculus is simply the course you take before calculus. You would be right, of course, but that definition doesnt mean anything unless you have some knowledge of what calculus is. Lets keep it simple, shall we? Calculus is a conceptual framework which provides systematic techniques for solving problems. These problems are appropriately applicable to analytic geometry and algebra. Therefore....precalculus gives you the background for the mathematical concepts, problems, issues and techniques that appear in calculus, including trigonometry, functions, complex numbers, vectors, matrices, and others. There you have it ladies and gentlemen....an introduction to precalculus!
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- 1.Probability explained | Independent and dependent events
- 2.Probability with playing cards and Venn diagrams
- 3.Addition rule for probability
- 4.Finding probability example 2
- 5.Compound probability of independent events
- 6.Coin flipping probability
- 7.Probability without equally likely events
- 8.Getting exactly two heads (combinatorics)
- 9.Exactly three heads in five flips
- 10.Frequency Stability
- 11.Generalizing with binomial coefficients (bit advanced)
- 12.Probability (part 2)
- 13.Probability (part 3)
- 14.Probability (part 4)
- 15.Probability (part 5)
- 16.Probability (part 6)
- 17.Dependent probability example
- 18.Dependent probability example 2
- 19.Probability (part 7)
- 20.Probability (part 8)
- 21.Permutations
- 22.Combinations
- 23.Probability using combinations
- 24.Probability and combinations (part 2)
- 25.Conditional probability and combinations | Probability and Statistics
- 26.Birthday probability problem
- 27.Introduction to Random Variables
- 28.Probability density functions
- 29.Binomial Distribution 1
- 30.Binomial Distribution 2
- 31.Binomial Distribution 3
- 32.Binomial Distribution 4
- 33.Expected Value E(X)
- 34.Expected value of binomial distribution
- 35.Poisson process 1
- 36.Poisson process 2
- 37.Law of large numbers
- 38.Term life insurance and death probability
- 39.Mega millions jackpot probability
- 40.Free throwing probability
- 41.Three pointer vs free throwing probability

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