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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.

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Q: What would be the experimental probability of rolling a die 50 times and getting 4?
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Continue Learning about Statistics

When rolling one die 12 times what is the probability of rolling a 2?

The probability of rolling at least one 2 when rolling a die 12 times is about 0.8878. Simply raise the probability of not rolling a 2 (5 in 6, or about 0.8333) to the 12th power, getting about 0.1122, and subtract from 1.


What is the probability of rolling 2 dice and getting 2 6s?

The probability is: 1/6 times 1/6 = 1/36


What is the difference between experimental and theoretical probability?

The difference between experimental probability and theoretical probability is that experimental probability is the probability determined in practice. Theoretical probability is the probability that should happen. For example, the theoretical probability of getting any single number on a number cube is one sixth. But maybe you roll it twice and get a four both times. That would be an example of experimental probability.


How many times would a coin have to show heads in 50 tosses to show an experimental probability of 20 percent more than the theoretical probability of getting heads?

Theoretical probability = 0.5 Experimental probability = 20% more = 0.6 In 50 tosses, that would imply 30 heads.


How do you calculate experimental probability?

Experimental probability is the number of times some particular outcome occurred divided by the number of trials conducted. For instance, if you threw a coin ten times and got heads seven times, you could say that the experimental probability of heads was 0.7. Contrast this with theoretical probability, which is the (infinitely) long term probability that something will happen a certain way. The theoretical probability of throwing heads on a fair coin, for instance, is 0.5, but the experimental probability will only come close to that if you conduct a large number of trials.

Related questions

When rolling one die 12 times what is the probability of rolling a 2?

The probability of rolling at least one 2 when rolling a die 12 times is about 0.8878. Simply raise the probability of not rolling a 2 (5 in 6, or about 0.8333) to the 12th power, getting about 0.1122, and subtract from 1.


What is the experimental probability of getting tails on a coin toss after tossing it 100 times and getting tails 60 times?

It is 60/100 = 0.6


A coin is tossed 60 times It landed on heads 21 times what is the experimental probability of getting heads?

1/2


What is the probability of rolling 2 dice and getting 2 6s?

The probability is: 1/6 times 1/6 = 1/36


When rolling a dice 9 times what is the probability of getting a six every time?

1/6


What are the odds of rolling a dice 5 times and getting 2 sixes?

The probability is approx 0.1608


How do you find experimental-probability?

To find the experimental probability of an event you carry out an experiment or trial a very large number of times. The experimental probability is the proportion of these in which the event occurs.


What are theoretical and expierimental probability?

Theoretical probability is the probability of something occurring when the math is done out on paper or 'in theory' such as the chance of rolling a six sided dice and getting a 2 is 1/6. Experimental probability is what actually occurs during an experiment trying to determine the probability of something. If a six sided dice is rolled ten times and the results are as follows 5,2,6,2,5,3,1,4,6,1 then the probability of rolling a 2 is 1/3. The law of large numbers states the more a probability experiment is preformed the closer to the theoretical probability the results will be.


What is the difference between experimental and theoretical probability?

The difference between experimental probability and theoretical probability is that experimental probability is the probability determined in practice. Theoretical probability is the probability that should happen. For example, the theoretical probability of getting any single number on a number cube is one sixth. But maybe you roll it twice and get a four both times. That would be an example of experimental probability.


What does estimated experimental probability mean please someone answer?

One way of finding the probability is to carry out an experiment repeatedly. Then the estimated experimental probability is the proportion of the total number of repeated trials in which the desired outcome occurs.Suppose, for example you have a loaded die and want to find the probability of rolling a six. You roll it again and again keeping a count of the total number of rolls (n) and the number of rolls which resulted in a six, x. The estimated experimental probability of rolling a six is x/n.


What is the probability of rolling the sum of two if you roll a pair of dice sixty times?

The probability of getting a sum of 2 at least once is 0.8155


What is the experimental probability of rolling 3 or a 4 on a number cube?

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.