The experimental probability, by definition, can only be determined after you have carried out the experiment!
The probability of tossing a coin twice and getting tails both times is 1 in 4, or 25%. If you have already tossed a coin and had it land on tails, the probability that it will land on tails again the next time you toss it is 50%.
From the survey the experimental probability that the next person surveyed liked themovie is: P(liking the movie) = 99/130 = 0.76153... ≈ 0.762 ≈ 76.2%
The probability of tails on the next toss is 1/2=.5 since this event is INDEPENDENT of the prior events.
Probability is the likelihood something will happen as opposed to another factor. If you were to toss a coin, the probability of it landing on heads is 1/2. If you toss it again, the probability of getting tails is 1/2.Sometimes one result can affect the next one, other times it cannot,The result affects the next if: You have 3 red marbles and 3 blue. You pull out a blue one and do not replace it. It affects is as it could not be chosen again so the probability of another blue goes down 1, as well as the mail number.It would not if: You do the same as above, but DO replace the removed marble. This is because it can be chosen again, and the Probability and the overall amount stays the same.
50% chance: Here are the four possibilities: H.H, H.T, T.H, T.T; where the first letter is the first flip, and the second letter is the next flip (H means heads and T means tails).So out of the 4 possible outcomes, 2 of them result in one heads and one tails. 2/4 = 50%.
The probability of tossing a coin twice and getting tails both times is 1 in 4, or 25%. If you have already tossed a coin and had it land on tails, the probability that it will land on tails again the next time you toss it is 50%.
Since each event is independent, the probability remains at 0.5.
There's not enough data to answer this in terms of experimental probability, but there's a 1/2 chance of the next customer being a woman.
40%
The possibility is always fifty percent.
From the survey the experimental probability that the next person surveyed liked themovie is: P(liking the movie) = 99/130 = 0.76153... ≈ 0.762 ≈ 76.2%
If she has not yet played the next stroke, there can be no experimental probability. You may be able to use her record to compare her performance with other players and then use their performance to predict hers. It is extremely unlikely but her own past performance may indicate a kind of evolution in her strokes which may help to predict.
The probability of tails on the next toss is 1/2=.5 since this event is INDEPENDENT of the prior events.
Probability is the likelihood something will happen as opposed to another factor. If you were to toss a coin, the probability of it landing on heads is 1/2. If you toss it again, the probability of getting tails is 1/2.Sometimes one result can affect the next one, other times it cannot,The result affects the next if: You have 3 red marbles and 3 blue. You pull out a blue one and do not replace it. It affects is as it could not be chosen again so the probability of another blue goes down 1, as well as the mail number.It would not if: You do the same as above, but DO replace the removed marble. This is because it can be chosen again, and the Probability and the overall amount stays the same.
The probability of getting a head first time is one out of two, or a half. The probability of getting a head the next time is still one out of two, so the combined probability is one quarter. Similarly, one eighth is the probability of getting three in a row; but the pattern does not end there, the probability of getting a tails the next time is STILL one in two, so that is a one in sixteen chance of that run, the probability of the entire sequence is therefore one in thirty-two.
29/40 or a 72.5% chance that the next bowl will be chipped.
Brian throws a dart at a calendar of February 40 times and hits Thursday 12 times. what is the experimental probability of the dart Not landing on Thursday?