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When you increase the number of trials of an aleatory experiment, the experimental

probability that is based on the number of trials will approach the theoretical

probability.

Q: What happens to theoretical and experimental probability when you increase the number of trials?

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The probability from experimental outcomes will approach theoretical probability as the number of trials increases. See related question about 43 out of 53 for a theoretical probability of 0.50

It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.

It is the theory of what might happen, but not actually what happens. In theory, if you spin a coin 100 times, it should come up on heads 50 times, as there is a 1 in 2 chance of you getting heads on each spin. If you actually do spin a coin 100 times, the total of heads is the experimental probability, so what you actually get. That may not be 50. It is likely to be close to 50 though.

If the two events are independent then the probability of them both happening is Pr(event1) X Pr(event2). Which in your case is 0.75x0.50=0.375 which translates into 37.5%

Probability is used everywhere: Betting odds. Medical odds, (chance of survival or chance of side effect happening). Anywhere we calculate risks (insurances calculate premiums based on probability). Communication Networks

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The probability from experimental outcomes will approach theoretical probability as the number of trials increases. See related question about 43 out of 53 for a theoretical probability of 0.50

It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.It is experimental probability.

Experimental probability is what actually happens in the real world. For example, if you played a game 60 times where you flip a coin and heads scores a point, theoretically you should get 30 points, right? Well, experimental probability is the actual results. In fact, your experimental probability for that game could even be 45 points scored in 60 tries. just remember: theoretical=in a perfect math world; experimental=real world results.

It is the theory of what might happen, but not actually what happens. In theory, if you spin a coin 100 times, it should come up on heads 50 times, as there is a 1 in 2 chance of you getting heads on each spin. If you actually do spin a coin 100 times, the total of heads is the experimental probability, so what you actually get. That may not be 50. It is likely to be close to 50 though.

In order to answer this question it is important, first, to be certain that the theoretical probability (not probality!) can be calculated. For example, there is a probability that the first car that I see being driven on the next day [tomorrow] is black but I challenge anyone to calculate the theoretical probability. No one, not even I, know when I will wake up tomorrow (assuming that I live to wake up), when I draw my curtains and when look into the street. The number of black cars and non-black cars in my locality can be found, but it could be a car from somewhere else which just happens to drive past at the critical moment.Assuming there was a theoretical probability, the experimental probability would be better than would be obtained from 999 trials and not as good as 1001 trials. Any other statements would depend on the distribution of the variable being observed.

The probability increases.The probability increases.The probability increases.The probability increases.

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.

You obtain an estimate of the probability that will usually be different from previous result(s).You obtain an estimate of the probability that will usually be different from previous result(s).You obtain an estimate of the probability that will usually be different from previous result(s).You obtain an estimate of the probability that will usually be different from previous result(s).

The probability of whatever it was that happens.

The sportsmen/women become more motivated, which may increase the chance. But they'll probably lose anyway.

The probability of a threat is 1. The threat exists. What is important is not the threat but the probability that the threatened event happens.

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