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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We give you an introduction to probability through the example of flipping a quarter and rolling a die.
Practice this lesson yourself on KhanAcademy.org right now
httpswww.khanacademy.orgmathprobabilityindependent-dependent-probabilitybasic_probabilityedice_probability?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics
Watch the next lesson httpswww.khanacademy.orgmathprobabilityindependent-dependent-probabilitybasic_probabilityvprobability-space-exercise-example?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics
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!
About Khan Academy Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. Weve also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content.
For free. For everyone. Forever. #YouCanLearnAnything
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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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