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Answered 2010-03-16 16:20:41

Multiply the probability by the number of times the experiment was carried out.

0.6x10=6

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The probability is 1/2 if the coin is flipped only twice. As the number of flips increases, the probability approaches 1.


Yes, you divide the number of expected outcomes by the number of possible outcomes in order to determine probability.


To get the EXPERIMENTAL probability, you'll have to actually carry out the experiment. The EXPECTED probability is equal to a fraction; the numerator will be the number of pieces of papers that have the number 35, the denominator will be the total number of pieces. If you repeat the experiment often, you can expect the experimental probability to be close to the expected probability.


You need to know the probability of the event in question. Then the expected frequency for that event occurring is that probability times the number of times the experiment was repeated.


Probability = number of times an event is expected to happen / number of opportunities for an event to happen It can be expressed as a percentage or a fraction.


the probability of winning that is the number you get over the total number of times you play the round!!!!!!!!!!!!for example: if i flipped the spoon two times, and you were supposed to flip 18 times, then the probability of winning is 2/18, which reduces to 1/9.


You roll it many times. The probability that it lands on a six is the number of times that it lands on a six divided by the number of times the die has been rolled.


Expected successes= Theoretical Probability · Trials P(event) = Number of possible out comes divided by total number of possible


You cannot determine the number of times an event will occur - unless its probability is 0 or 1. In other cases, you can estimate the expected number of times it will occur. If the outcome of each trial is independent, then the expected number is the probability of the event occurring in one trial multiplied by the number of trials. If the outcome of each trial is not independent then you need to develop a model that takes account of the dependencies.


It is neither. If you repeated sets of 8 tosses and compared the number of times you got 6 heads as opposed to other outcomes, it would comprise proper experimental probability.


A biased dice is a dice that has a greater chance of landing on a particular number than could be expected according to the law of averages. This could be due to the dimensions of the cube not being uniform or the weight of one side being greater than the others.


For goodness of fit test using Chisquare test, Expected frequency = Total number of observations * theoretical probability specified or Expected frequency = Total number of observations / Number of categories if theoretical frequencies are not given. For contingency tables (test for independence) Expected frequency = (Row total * Column total) / Grand total for each cell


The highest number on probability is 1 or 100%.


If the probability of a event is zero, then the event cannot occur. Therefore, if the probability of an even number is zero, then the probability of an odd number is one.


Assuming the sides are labelled one to twenty and that all sides are the same shsp and size and that the dice in not biased in any way, then there will be a 50% chance of getting an odd number.


Experimental Probability: The number of times the outcome occurs compared to the total number of trials. example: number of favorable outcomes over total number of trials. Amelynn is flipping a coin. She finished the task one time, then did it again. Here are her results: heads: three times and tails: seven times. What is the experimental probability of the coin landing on heads? Answer: 3/10 Explanation: Amelynn flipped the coin a total of 10 times, getting heads 3 times. Therefore, the answer is: 3/10.


The probability of 5 is 1/6 So the expected number of times the face 5 shows up in 2000 throws is 2000*1/6 = 333.3... .



The probability, in my case, is zero.


There could be many questions: What is the probability of rolling an even number. What is the probability of rolling an odd number. What is the probability of rolling a number less than 4. What is the probability of rolling a number more than 3. What is the probability of rolling 1,4, or 6. Basically it could be any question about the probability of rolling half of the faces.


You calculate the statistical probability of dying in a plane crash in the same way that you calculate the probability of anything else. You simply divide the number of expected outcomes by the number of possible outcomes. To determine the statistical probability of dying in a plane crash, you divide the number of people that have died in a plane crash by the number of people that have flown in planes. You can aggregate this anyway you want, over whatever period of time you want, so long as you properly state the conditions under which you perform your calculation.


If a number has a probability of 1 it means it is certain to occur.


The probability is 0.The probability is 0.The probability is 0.The probability is 0.


The expected number of times is the probability x number of throws. Since you have a prob of 1/6 for a seven, then (1/6) * 160 = 26.67 times you would have success. We generally would round up the expected number of successes to the whole number 27.


The probability of an event occurring can be found by dividing the number of favorable outcomes (what you want to happen) by the number of possible outcomes number of favorable outcomes probability = _________________________ number of possible outcomes



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