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  1. Binomial distribution (video) | Khan Academy

    I'll leave you there for this video. In the next video we'll graphically represent this and we'll see the probability distribution for this random variable.

  2. Random variables | Statistics and probability - Khan Academy

    Practice Mean and standard deviation of a binomial random variable Get 3 of 4 questions to level up!

  3. Binomial probability (basic) (article) | Khan Academy

    We can build a formula for this type of problem, which is called a binomial setting. A binomial probability problem has these features:

  4. Random variables and probability distributions | Khan Academy

    Parameters for a binomial distribution Learn Expected value of a binomial variable Variance of a binomial variable

  5. Poisson process 1 (video) | Random variables | Khan Academy

    The binomial distribution tells us that the expected value of a random variable is equal to the number of trials that that random variable's kind of composed of, right?

  6. Normal distribution (Gaussian distribution) (video) | Khan Academy

    And that's a key difference: the binomial distribution is always finite. You can only have a finite number of values while the normal distribution is defined over the entire real number line.

  7. Statistics and probability - Khan Academy

    What is a sampling distribution? Sampling distribution of a sample proportion Sampling distribution of a sample mean

  8. Probability | Statistics and probability | Math | Khan Academy

    You've experienced probability when you've flipped a coin, rolled some dice, or looked at a weather forecast. Go deeper with your understanding of probability as you learn about theoretical, …

  9. Normal distribution excel exercise (video) | Khan Academy

    (Long-26 minutes) Presentation on spreadsheet to show that the normal distribution approximates the binomial distribution for a large number of trials. Created by Sal Khan.

  10. Mean and standard deviation of a binomial random variable

    Practice calculating the mean and standard deviation of a binomial random variable.