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Probability question

  • 06-01-2014 9:48am
    #1
    Registered Users, Registered Users 2 Posts: 80 ✭✭


    I have a question on how to calculate the probability.

    If there is a 1 in 5 chance of something happening. E.g. if there are 5 marbles in a bag and one is a different colour.

    What is the probability if I pick a marble out 10 times (and replace it) that I get the differently coloured marble 5 times out of 10.

    Thanks


Comments

  • Registered Users, Registered Users 2 Posts: 5,141 ✭✭✭Yakuza


    That's a question that requires the use of the binomial distribution, with a success probability of 20%. Does that help? have a bash at it now and post up your attempt.


  • Registered Users, Registered Users 2 Posts: 80 ✭✭carrick76


    Yakuza wrote: »
    That's a question that requires the use of the binomial distribution, with a success probability of 20%. Does that help? have a bash at it now and post up your attempt.


    Thanks, that helps a lot. Are you a teacher? :)

    A long time since I did such maths.:o

    Found an online binomial calculator and its telling me >/= 5/10 has a probability of 3.3%. Does that seem right?

    Seems about right to me but thought it would be slightly higher.

    Thanks again


  • Registered Users, Registered Users 2 Posts: 5,141 ✭✭✭Yakuza


    Nope, not a teacher (formally anyway, though I do try to impart some maths and science to my kids). I work in the insurance/IT/Actuarial worlds so this maths is still reasonably fresh in my mind.

    Your answer looks a little high to me. Forget online calculators, go back to first principles...

    Define a success as getting the different-coloured ball out of the bag, this has a 1 in 5 chance of success and a 4 in 5 chance of failure.

    So, to get 5 successes from 10 trials, you must have 5 successes (with what probability? )and 5 failures (with what probability?), and these can happen in
    [latex]{10 \choose 5}[/latex] different ways. What do you get when you multiply all this out?

    Hint: use http://mathworld.wolfram.com/BinomialDistribution.html


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