RandomVariables_03

  1. What do theta and sigma represent in a Cauchy distribution?
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  2. What distribution only has two possible outcomes? (i.e. 1, 0)?
    Bernoulli Distribution
  3. Bernoulli Trial PMF:
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  4. Bernoulli Trial CDF:
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  5. Binomial Distribution PMF:
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  6. Binomial Distribution CDF:
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  7. Describe a binomial experiment:
    • A binomial experiment involves a sequence of n (a fixed number) independent and identical
    • Bernoulli trials with probability of success p (which is constant across trials, as they are
    • identical).
    • ***Let Y = # of successes from the n trials.*** Then Y is a binomial random variable,
    • Y ∼ Bin(n, p).
  8. What indicates a large sample in a Binomial distribution?
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  9. Geometric Distribution PMF:
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  10. Geometric Distribution CDF:
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  11. Negative Binomial Distribution PMF:
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  12. Negative Binomial CDF:
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  13. Distributions based off of Bernoulli trials?
    • Geometric Distribution
    • Binomial Distribution
    • Negative Binomial Distribution
  14. What is the difference between a Binomial distribution and a Negative Binomial distribution?
    • Binomial: #of successes
    • Negative Binomial: # of trials until the rth success
  15. In a negative binomial distribution, what happens when r=1?
    we get the Geom(p)
  16. Poisson Distribution PMF:
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  17. Poisson Distribution CDF:
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  18. Hypergeometric Distribution PMF:
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  19. Hypergeometric Distribution CDF:
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  20. What sort of distribution is this an example of:
    Example: Consider Y = the number of 911 calls received in an hour by a phone operator.
    Under quite a few assumptions and considering that the average number in an hour is 4.6
    Poisson Distribution
  21. What sort of distribution is this an example of:

    Example: A shipment of 100 items is examined by testing 3 randomly selected items. Suppose in truth that 8 items are defective.
    Hypergeometric Distribution

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  22. Formulas related to a Hypergeometric Distribution:
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Author
saucyocelot
ID
362812
Card Set
RandomVariables_03
Description
More random variables!
Updated