what is thye meaning of probablity?
922574
The quality or condition of being probable; likelihood.\nA probable situation, condition, or event: Her election is a clear probability.\n\nThe likelihood that a given event will occur: little probability of rain tonight.\nStatistics. A number expressing the likelihood that a specific event will occur, expressed as the ratio of the number of actual occurrences to the number of possible occurrences.
14511
From theoritical point of view it exist..Because it includes a infinite no of trials which is valid in books.But practically a probability can't exist because  to find out the proper measure we have to carry on the experiment for infinite times which is impossible(even for a idle guy like me).\n  It is measured by the equation of P=(favourable outcomes)/(total outcomes).for a n trial experiment and then tend n to infinite.\n  Just like a coin toss.We assume that if we toss the coin for infinite times the above fraction would be half.\n Although practically it may seem for 10 experiment you get 6 H and 4 T (if ur luck is bad u may find a 10:0 ratio also.)\n  So probability depends on the deterministic behaviour solely not on randomness or non determinism.
867606
In order to measure probabilities, mathematicians have devised the following formula for finding the probability of an event.\n\nProbability Of An Event \nP(A) =    The Number Of Ways Event A Can Occur    \nThe Total Number Of Possible Outcomes  \n \nThe probability of event A is the number of ways event A can occur divided by the total number of possible outcomes.
767048
Random chances are the same as probabilities. If you are so interested, you should look into Quantum Theory. It describes it in depth.
277670
probability is the # of favorable outcomes over the # of possible outcomes:\n\nprobability=\n# of favorable outcomes\n------------------------------\n# of possible outcomes\n\nfavorable outcomes would be the # of possible resultis in your favor\n\nexample:\ni have 5 cards- a joker, a jack, a queen, a king, and a ace. there is a 1 in 5 chance (1/5) that you will pull a jack...there is a 3 in 5 chance (3/5) that you will pull a royal card (jack, queen, king)\n\nin both examples, the first number (1 and 3) are favorable outcomes
176780
I have a different point of view to the post above. If the probability of the given event occuring is 0, the the probability P(A|B) is a nonsense sentence and undefined, in the same manner as division by 0. There's nothing wrong with the existence of meaningless statements.\nThe aforementioned probability being zero is only enforced if you change the probability space to that of P(A AND B) which can easily be argued to be zero.
560810
1)  I think you're missing a bit.\n\nGiven that P(W<=4)=0.825 then P(W>4) = 1-0.825 = 0.175\n\nThis is because all probabilities sum to 1.  So since <=4 annd >4 make up all teh possibilities the value could take - then they're total probabilties must be 1.\n\n2)  Expected value\nTo do these you simply have to multiply the probability by the value and total them up.\n\n+36,000×0.7 -6,000×0.3 = $23,400\n\n3)  Binomial\nYou have a bin(6, 1/6) as there are 6 trials and the probability of a success (ie getting a four) is 1/6.\n\nYou require the probability of 2 fours so just using the binomial formula P(X = x) = nCx × p^x × (1-p)^(n-x) you get:\n\nP(X = 2) = 6C2 × (1/6)² × (5/6)^4 = 0.2009\n\n4)  Binomial\n\nthis again is a binomial Bin(10, 0.33) - as we have 10 trials (students) and the probability of each one being a success (ie member of ethnic minority) is 0.33\n\nUse the formula above to get the probability of more than 6:\n\nP(X = 7) = 10C7 × 0.33^7 × 0.67^3 = 0.01538...\nP(X = 8) = \nP(X = 9) = \nP(X = 10) = \n\ntotalling these up gives the probability of more than 6.\nThen the probability of NOT more than 6, P(X <=6) = 1 - P(X>6) using the idea from 1.\n\n5)  The mean of teh binomial is just np (ie the number of trails time the probabilty of success).\n\nSo for your example where we have bin(6, 0.7) it will be 6×0.7 = 4.2 seeds germinating.
893233
Possibility comprises that which one can achieve, or alternatively one's potential.\n\nInformally, probable is one of several words applied to uncertain events or knowledge, being closely related in meaning to likely, risky, hazardous, and doubtful. Chance, odds, and bet are other words expressing similar notions. Just as the theory of mechanics assigns precise definitions to such everyday terms as work and force, the theory of probability attempts to quantify the notion of probable. Probability always lies between 0 and 1. If probability is equal to 1 then that event is certain to happen and if the probability is 0 then that event will never occur.
478561
I don't remember N value, but I know that P value is the probability that something is done by "chance".  In other words, I cannot "prove" that I am a psychic, but I can do things that point farther and farther away from me 'cheating" or "just guessing".  The farther one gets from something being "chance" the smaller the P value is.  In Statistics, P-value is only considered "significant" if it is below .05 (or less than possibly happening one in 20 times).
729061
Yes, the mathematical definition of risk is exactly that: larger variability is the return. However, the variation is symmetrical around the mean. The probabilty of having a larger return than the mean is just as big as the probability of having a smaller return than the mean.
628830
Total no of outcome : 2^11 = 2048 \n(A coin tossed 11 times)\nNo of favourable outcome : 11C4 = 330\n(Exactly 4 heads)\nSo probablility would be 330/2048 = 0.1611
554035
1/6 multiplied by 1/2 = 1/12\n\nthe law of independant probabilties.
616060
Yes, the probability of life happening is 1 because it happened.  I would guess that looking from the outside, the probability that someone named icarus62 typed the following "Apologetics...." at exactly [insert time here] using whatever type of computer, etc. is also arbitrarily small but it did happen. :)
19818
try\nhttp://www.peterwebb.co.uk/probability.htm
1026561
Okay, your possible outcomes number 16. They are:\n\n1+1=2\n1+2=3\n1+3=4\n1+4=5\n2+1=3\n2+2=4\n2+3=5\n2+4=6\n3+1=4\n3+2=5\n3+3=6\n3+4=7\n4+1=5\n4+2=6\n4+3=7\n4+4=8\n\nYour probabilites are:\n2: 1/16\n3: 2/16\n4: 3/16\n5: 4/16\n6: 3/16\n7: 2/16\n8: 1/16\n\n2,3,5 and 7 are prime, thus the probability of rolling a prime is (1+2+4+2)/16 or 9/16 exactly.
262867
Considering  possible events are\nChoosing heads \nChoosing tails \n\nprobability of chosing heads is 0.5\n\nConsidering possible events are\nChoosing heads \nChoosing tails \nChoosing Nothing\n\nprobability of chosing heads is 0.33\n\nConsidering possible events as only heads because next is tails\nprobability of chosing heads is 1.\n\nprobability is always a value betweem 0 and 1.
814589
Theoretical probability is finding the probability of events that come from an equiprobable sample space or, in other words, a sample space of known equally likely outcomes. \nFor example, \nSay you roll a dice.\nThe probability of rolling a 1 is the same if you roll a 2, 3, 4, 5, or 6.\nThat is, each number is equally likely.\nSince there are 6 numbers in the sample space, the probability of each event is 1/6\n\nAnother example:  Say you flip a fair coin.\nYou have two possiblities.  It could land heads, or it could land tails.  Each event is equally likely, so the probability of landing heads is the same as the probability of landing tails (which is 1/2)