The probability is 6 in 12, or 1 in 2.
Experimental probability is calculated by taking the data produced from a performed experiment and calculating probability from that data. An example would be flipping a coin. The theoretical probability of landing on heads is 50%, .5 or 1/2, as is the theoretical probability of landing on tails. If during an experiment, however, a coin is flipped 100 times and lands on heads 60 times and tails 40 times, the experimental probability for this experiment for landing on heads is 60%, .6 or 6/10. The experimental probability of landing on tails would be 40%, .4, or 6/10.
3 out of 6
Generally you should express it as a number between 0 (impossible) and 1 (absolute certainty). Either as a decimal or fraction is OK. For example, the probability of a fair coin toss landing on heads is 0.5. The probability of a fair die landing on 4 is 1/6. But it's also common to see probability written as a percentage between 0% (impossible) and 100% (absolute certainty). So P(coin landing on heads)=50.0% and P(die landing on 4)=16.7%.
Probability is the likelihood that something will occur. If you subtract it from 1, we get the likelihood (or probability) that it will not occur. If a coin is tossed and rolls heads 6 times, the (empirical) probability of obtaining a head is 6/10 or .6. 1-.6 =.4 is the empirical probability (or likelihood) of not getting a head.
Assuming that it is a regular shaped spinner, the probability is 1/6*1/6 = 1/36
Experimental probability is calculated by taking the data produced from a performed experiment and calculating probability from that data. An example would be flipping a coin. The theoretical probability of landing on heads is 50%, .5 or 1/2, as is the theoretical probability of landing on tails. If during an experiment, however, a coin is flipped 100 times and lands on heads 60 times and tails 40 times, the experimental probability for this experiment for landing on heads is 60%, .6 or 6/10. The experimental probability of landing on tails would be 40%, .4, or 6/10.
the probability of tossing a coin and it landing on head is a 1 in 2 chance the probability of rolling a 5 on a dice is a 1 in 6 chance
Coin landing of heads = 1/2 (either heads or tails) Dice landing on even number = 1/2 (no matter how many faces there are on the dice unless the number of faces is odd, 6 sided=3 even sides/6)
3 out of 6
The probability is 5/16.
Since there are 6 possible outcomes, and you want the probability of obtaining one of the outcomes (in your case 6), the probability of it landing on a 6 is 1/6.
Generally you should express it as a number between 0 (impossible) and 1 (absolute certainty). Either as a decimal or fraction is OK. For example, the probability of a fair coin toss landing on heads is 0.5. The probability of a fair die landing on 4 is 1/6. But it's also common to see probability written as a percentage between 0% (impossible) and 100% (absolute certainty). So P(coin landing on heads)=50.0% and P(die landing on 4)=16.7%.
The probability of flipping a coin and having it land heads in a single flip is 1/2. To find the probability of getting heads in 6 consecutive flips, you multiply the probabilities of each individual flip: (1/2)^6. This results in a probability of 1/64, or approximately 0.0156 (1.56%).
4C2(1/2)4 = 6/16 = 3/8
50/50
To calculate the probability of getting at least four heads when flipping a coin six times, we can use the binomial probability formula. The total number of outcomes for six flips is (2^6 = 64). The probabilities for getting exactly four, five, and six heads can be calculated using the binomial formula, and their sum gives the total probability of getting at least four heads. This results in a probability of approximately 0.65625, or 65.625%.
There is a 1/6 chance of rolling a 4 on a fair die, and a 1/2 chance of a fair coin landing heads up. Multiply 1/6 X 1/2. The probability of both happening is 1/12.