The experimental probability of rolling a 3 or a 4 on a number cube cannot be stated here, because it depends on the actual results of a set of trials, results which will vary for each set of trials.Roll a die 10 times and see what you get. Do it another 10 times, and you should see different results.The theoretical probability, however, is well known - it is 2 in 6, or 1 in 3, or about 0.3333.
Do the division, and see if there is a remainder.
The negative binomial can be applied in any situation in which there is a series of independent trials, each of which can result in either of just two outcomes. The distribution applies to the number of trials that occur before the designated outcome occurs. For example, if you start flipping a fair coin repeatedly the negative binomial distribution gives the number of times you must flip the coin until you see 'heads'. There are also 'everyday' applications in inventory control and the insurance industry. Please see the link.
The word "die" is in the King James Version of the Bible 321 times. It is in 299 verses. Please see the related link below.
In algebra, an expression consisting of the sum or difference of two monomials (see the definition of monomial), such as 4a-8b.
Assuming a standard unbiased 6-sided die: The probability of 5 or 3 = 2/6 = 1/3 → The expectation when it is rolled 260 times is 260 × 1/3 = 86 2/3 → You would expect to see a 5 or 3 about 87 times when rolling a die 260 times
Sounds pretty sexy, eh? See link. http://en.wikipedia.org/wiki/Binomial_expansion
The experimental probability of rolling a 3 or a 4 on a number cube cannot be stated here, because it depends on the actual results of a set of trials, results which will vary for each set of trials.Roll a die 10 times and see what you get. Do it another 10 times, and you should see different results.The theoretical probability, however, is well known - it is 2 in 6, or 1 in 3, or about 0.3333.
The song, They See me Rolling, is performed by Chamillionaire. The lyrics 'They see me rolling' feature in the song Ridin' by Chamillionaire. It was released on January 12, 2006.
Do the division, and see if there is a remainder.
See the Related Link below for sheet music of Rolling in the Deep.
The experimental probability can't be predicted. If it could, then there wouldn't be any reason to do experiments. The probability of rolling a die 50 times depends on how passionately you want to see what's going to happen if you do. There are six different ways a single die can come up on each roll. So the probability of rolling any particular number between 1 and 6 on each roll is 1/6 or (16 and 2/3) percent. If it isn't, then the die isn't a fair die. The die has no memory, so the probability of any particular number is the same on every roll, even if the same number has or hasn't come up on the previous 100 or 1,000 consecutive rolls. If the probability of any outcome depends on what has come before, then the laws of probability aren't operating, and it's not an honest game.
Excellent question! As it happenes they did make the cover of Rolling Stone magazine, on March 29th, 1973. Three months or so after their song 'Cover of the rolling stone', was released.
The negative binomial can be applied in any situation in which there is a series of independent trials, each of which can result in either of just two outcomes. The distribution applies to the number of trials that occur before the designated outcome occurs. For example, if you start flipping a fair coin repeatedly the negative binomial distribution gives the number of times you must flip the coin until you see 'heads'. There are also 'everyday' applications in inventory control and the insurance industry. Please see the link.
See the related link below for sheet music of Rolling in the Deep
They shouldn't, if manufactured correctly. Air bubbles in a mold can cause a die to float. If this is the case, it should turn over and favor one side based on where the air bubble is located. You can further test this by rolling the die ( at least a 100 times) and see if that number shows up far more than it should. (Chance is always a factor, but if you get a 1 96 times out of a 100, it is more likely the die and not chance)
The Poisson distribution with parameter np will be a good approximation for the binomial distribution with parameters n and p when n is large and p is small. For more details See related link below