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The probability is determined by the binomial distribution. We consider p = probability of defect, q = probability of not defect, n = sample size, and x= number of defects in sample, in this case x=2. We calculate the probability as P(X = x) = n!/[(n-x)! x!] pxqn-x If sample size = 10 and p = 0.1 then: P(x= 2) = 10!/(8!x2!)(0.1)2(0.9)8 = 0.1937 You can find more about the binomial distribution under Wikipedia. It is important also to note the assumptions when using this distribution. It must be a random sample and the probability of defects is known.
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Why can't 1.21 be the probability of some event?
Because probability can't be greater than 1.
How does probability differ from actuality?
Probability is the chance of some outcome while actuality is the realistic chance and actual outcome of an event.
If you draw a card from a normal deck of cards what is the probability the card is an jack of diamonds?
1/52 Which as a decimal is 0.01923076923076923076923076923 Which as a percent it is 1.923076923076923076923076923% (: Well, probably not exactly what you wanted but here some math. Oh and that number is real I did it on a calculator! Check it!
What are some examples of probability of everyday life?
to get mony to have food
What are some probability games?
Black Jack, Poker, any dice game, Probhex, however it can also be educational than other probability games.
