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.
Because probability can't be greater than 1.
Probability is the chance of some outcome while actuality is the realistic chance and actual outcome of an event.
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!
to get mony to have food
Black Jack, Poker, any dice game, Probhex, however it can also be educational than other probability games.
We have no way of knowing why you want to do that. Some kind of mental defect, perhaps.
The person will have a physical defect of some kind, or will not survive the early weeks of pregnancy.
If the probability that no component fails on turn-on is 0.35, then the probability that none will fail after 2, 3, and 4 turn-on's is 0.1225, 0.042875, and 0.015, respectively. This is 0.35 to the 2nd, 3rd, and 4th powers, etc. As time goes on, the probability of no failure will approach zero, and the probability of failure will approach 1, but the probability of no failure or some failure will never become exactly 0 or 1.
Here are some sentences.Will the spy defect to our country?She will defect once she escapes from her escort.
The answer depends on how many times the coin is tossed. The probability is zero if the coin is tossed only once! Making some assumptions and rewording your question as "If I toss a fair coin twice, what is the probability it comes up heads both times" then the probability of it being heads on any given toss is 0.5, and the probability of it being heads on both tosses is 0.5 x 0.5 = 0.25. If you toss it three times and want to know what the probability of it being heads exactly twice is, then the calculation is more complicated, but it comes out to 0.375.
Here are some sentences.Will the spy defect to our country?She will defect once she escapes from her escort.
Some words that can apply to probability are: maybe; odds; chance(s); if.
NO!! omg no that's a horrible thing to do. Your offspring might have a serious birth defect or some kind of health related issue. Please no.
Evidence from opticians is that about 10% of the male population who have been tested have been found to have some kind of defect in their ability to distinguish between colors, but the percentage is much lower among females. In some cases the defect is caused by a defect in the function of the person's eye rods or cones of his retina, and in others a defect in the nerve cells in his brain. Full color blindness, where everything appears monochromatic is extremely rare, believed to affect less than 0.1% of humans.
Not exactly . Some just lays eggs that are fertilized later, some have active reproduction.
Dependent probability is the probability of an event which changes according to the outcome of some other event.
some