p(a) = 1/3, p(b) = 1/2, p(a and b) = p(a)*p(b) = 1/6
There are infinitely many numbers and so the probability of the second event is 0. As a result the overall probability is 0.
The probability is 0%. The result will be heads or it will be tails but it cannot be heads and tails.
Empirical means by observation, so empirical probability, or experimental probability, is the probability that is observed in a set of trials. For example, if you flip a coin ten times and get seven heads, your empirical probability is 7 in 10. This is different than the theoretical probability, which for a fair coin is 5 in 10, but that result will only be approximated by the empirical results, and then only with a larger number of trials.
The probability is 1/2 if the coin is flipped only twice. As the number of flips increases, the probability approaches 1.
It is 100%. The coin will result in heads or tails since there are no other possible outcomes.
One in six
The number of times a coin is tossed does not alter the probability of getting heads, which is 50% in every case, as long as the coin has not been rigged (i.e., a double-headed coin, a weighted coin) to alter the result.
There are infinitely many numbers and so the probability of the second event is 0. As a result the overall probability is 0.
The probability is 0%. The result will be heads or it will be tails but it cannot be heads and tails.
Empirical means by observation, so empirical probability, or experimental probability, is the probability that is observed in a set of trials. For example, if you flip a coin ten times and get seven heads, your empirical probability is 7 in 10. This is different than the theoretical probability, which for a fair coin is 5 in 10, but that result will only be approximated by the empirical results, and then only with a larger number of trials.
The probability is 1/2 if the coin is flipped only twice. As the number of flips increases, the probability approaches 1.
It is 100%. The coin will result in heads or tails since there are no other possible outcomes.
The probability of getting two tails when tossing a coin is zero, because the coin can only have one result. If, one the other hand, you toss the coin twice, then the probability of getting two tails is 0.25, i.e. the probability of one tail, 0.5, squared.
Coins do not have numbers, there is only the probability of heads or tails.
The experimental probability of a coin landing on heads is 7/ 12. if the coin landed on tails 30 timefind the number of tosses?
The probability is 1/2 since you are certain to get a number on the die.
The probability that a coin will result in heads in any one toss is 1/2. If you toss the coin three times, the probability that the coin will turn up heads each time is 1/2 x 1/2 x 1/2 or 1/8, which is 12.5%.