Hypergeometric distribution

Hypergeometric distribution

Lessons

N: population size
m: number of successes in the population
n: sample size
x: number of successes in the sample

P(x): probability of getting x successes (out of a sample of n)
P(x)=(mcx)(NmCnx)NCnP(x)=\frac{(_mc_x)(_{N-m}C_{n-x})}{_NC_n}
  • 1.
    What is Hypergeometric Distribution?

  • 2.
    Identifying Hypergeometric Distributions
    Identify which of the following experiments below are Hypergeometric distributions?

    i.
    Negative Binomial – A 12 sided die (dodecahedra) is rolled until a 10 comes up two times. What is the probability that this will take 6 rolls?
    ii.
    Binomial – An urn contains 5 white balls and 10 black balls. If 2 balls are drawn with replacement what is the probability that one of them will be white?
    iii. Hypergeometric - A bag contains 8 coins, 6 of which are gold galleons and the other 2 are silver sickles. If 3 coins are drawn without replacement what is the probability that 2 of them will be gold galleons?

  • 3.
    Determining the Hypergeometric Distribution
    A bag contains 8 coins, 6 of which are gold galleons and the other 2 are silver sickles. If 3 coins are drawn without replacement what is the probability that 2 of them will be gold galleons?

  • 4.
    Determining the Cumulative Hypergeometric Distribution
    Ben is a sommelier who purchases wine for a restaurant. He purchases fine wines in batches of 15 bottles. Ben has devised a method of testing the bottles to see whether they are bad or not, but this method takes some time, so he will only test 5 bottles of wine. If Ben receives a specific batch that contains 2 bad bottles of wine, what is the probability that Ben will find at least one of them?