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What is the probability of three people flipping a coin and two having the same side and the other not?
When flipping a coin, there are 2 possible outcomes. When flipping 3 coins there are 8 possible outcomes (2^3=8).
As for the situation described, there is only one way for it to not be true, if all the coins land on the same side. So either all heads or all tails.
This leaves 8-2=6 possible outcomes resulting in the above situation.
Therefore the probability of the given situation is 6/8 or 3/4=75%
What else can I help you with?
What is the probability of having a girl versus having a boy?
The probability of having a girl versus a boy is 1/2 because there is two things you have a chance of getting and you can only get one or the other.
What is binomial distribution?
For an experiment to be classified as a binomial distrbution four critiria have to be met:There must be a fixed number of trials which is denoted by n.Each trial only has two possible outcomes. One is labeled success and the other is failure.the probably of success is p. The probably of failure is 1-pFinally, the trials must be independent of one other (the outcome of one trial does not affect the outcomes of any other trial.)An example of a binomial experiement is flipping a coin.You can set a fixed number of trials. In this case, flipping a coin 3 times.You label head as success and tails as failure.The probability of heads is p=0.5; the probability of tails is 1-p = 1-0.5 = 0.5.Getting heads on the first flip, doesn't change the probability of flipping heads again on the second. Thus the trials are independent.
If 15 strangers are all in a room what is the probability of them all having the same birthday?
To determine the probability of 15 random people all having the same birthday, consider each person one at a time. (This is for the non leap-year case.)The probability of any person having any birthday is 365 in 365, or 1.The probability of any other person having that same birthday is 1 in 365, or 0.00274.The probability, then, of 15 random people having the same birthday is the product of these probabilities, or 0.0027414 times 1, or 1.34x10-36.Note: This answer assumes also that the distribution of birthdays for a large group of people in uniformly random over the 365 days of the year. That is probably not actually true. There are several non-random points of conception, some of which are spring, Valentine's day, and Christmas, depending of culture and religion. That makes the point of birth, nine months later, also be non-uniform, so that can skew the results.
What is the probability of having a child with schizophrenia if both parents' mothers had similar mental illness?
The chance of the child having schizophrenia when both parents have schizophrenia is about 37%. There is no data available for other combinations of illnesses, for example if one parent has schizoaffective disorder and the other has schizophrenia.
If a woman has given birth to two sons what is the probability that her third child will be a girl?
In general, the probability that any child will be a girl is approximately 1 in 2. It is like flipping a coin. There is a 50-50 chance for a specific outcome each time. It would be less likely that a woman would have three sons than that she have two sons and one daughter, but each individual outcome is a 50-50 chance. If this is a brain teaser, since we are given that the woman has given birth to two sons, it could imply that any other children she has are daughters, in which case the probability is 100% - if we know that she has other children.
What is the probability of flipping 6 heads in a row?
1.525% in other words, NOT LIKELY
What would the theoretical probability be of flipping a coin four times?
Anyone can flip a coin four times so I say 100 percent probability. On the other maybe you should ask the odds of the results from four flips.
What is the probability of having a girl versus having a boy?
The probability of having a girl versus a boy is 1/2 because there is two things you have a chance of getting and you can only get one or the other.
Two events are independent if they have the same probability?
No, two events are independent if the outcome of one does not affect the outcome of the other. They may or may not have the same probability. Flipping two coins, or rolling two dice, are independent. Drawing two cards, however, are dependent, because the removal of the first card affects the possible outcomes (probability) of the second card.
Why is it called experimental probability?
It's difficult to think of a real event to which an exact probability can be assigned. We say that flipping a coin yields 'heads' with probability 1/2 but we do not know that definitely. The only way of assigning a probability in the sense of numbers of heads versus total numbers of flips is by experiment. (Be aware though that there are other interpretations of the word probability.) If I were to flip a coin 500 times and obtained 249 heads then the experimental probability of obtaining a head would be 249/500 or 0.498.
If your family mostly likely gets boys What is the probability of you getting a girl?
The probability of an individual having either a male or female can not be altered. There is always a 50/50 chance of having a boy or girl. It is not a genetic trait to have one of the other.
What is binomial distribution?
For an experiment to be classified as a binomial distrbution four critiria have to be met:There must be a fixed number of trials which is denoted by n.Each trial only has two possible outcomes. One is labeled success and the other is failure.the probably of success is p. The probably of failure is 1-pFinally, the trials must be independent of one other (the outcome of one trial does not affect the outcomes of any other trial.)An example of a binomial experiement is flipping a coin.You can set a fixed number of trials. In this case, flipping a coin 3 times.You label head as success and tails as failure.The probability of heads is p=0.5; the probability of tails is 1-p = 1-0.5 = 0.5.Getting heads on the first flip, doesn't change the probability of flipping heads again on the second. Thus the trials are independent.
If 15 strangers are all in a room what is the probability of them all having the same birthday?
To determine the probability of 15 random people all having the same birthday, consider each person one at a time. (This is for the non leap-year case.)The probability of any person having any birthday is 365 in 365, or 1.The probability of any other person having that same birthday is 1 in 365, or 0.00274.The probability, then, of 15 random people having the same birthday is the product of these probabilities, or 0.0027414 times 1, or 1.34x10-36.Note: This answer assumes also that the distribution of birthdays for a large group of people in uniformly random over the 365 days of the year. That is probably not actually true. There are several non-random points of conception, some of which are spring, Valentine's day, and Christmas, depending of culture and religion. That makes the point of birth, nine months later, also be non-uniform, so that can skew the results.
What is the probability of flipping a coin and getting heads?
999,999/2,000,000 for heads, and the same for tails * * * * * The above answer implies that there is a probability of 1/1,000,000 that the coin shows neither heads nor tails. It either stands on its rim or another image appears or the disappears into some other dimension or there is some other outcome. Not impossible, perhaps, but the probability of such an event is likely to be less than 1 in a million. So for all intents and purposes, if the coin is fair, Pr(H) = Pr(T) = 0.5
What is the probability of achieving a higher flush in a game of poker?
The probability of achieving a higher flush in a game of poker is dependent on the number of players and the cards dealt. In general, the probability is low, as a higher flush requires having five cards of the same suit in a higher sequence than the other players.
What does dependent probability mean?
Dependent probability is the probability of an event which changes according to the outcome of some other event.
What are the release dates for Flipping Out - 2007 Pajamas and Other Games 3-2?
Flipping Out - 2007 Pajamas and Other Games 3-2 was released on: USA: 25 August 2009 Hungary: 16 January 2010
