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Is it possible to toss a coin 20 times and have it land heads-up 20 times is this likely to happen?
It is possible. It is certain with a double headed coin. With a fair coin the event has a probability of 1 in 1048576 or approximately 1 in a million.
What is the probability of flipping a coin 20 times and getting 1 tails and 1 heads?
None, since that would imply that in 18 cases the coin did not show heads or tails!
Is it possible to toss a coin 20 times and have it land heads up 20 times?
Yes. The probability of this occurring is 0.520 = 0.00000095367 or 1 in 1,048,576 thus you are more likely to do this than win the lottery
Toss a coin-randomly select a number from 0 to 9 What is the probability of getting tails and selecting a 0?
The result of tossing the coin would not affect which number was selected. So we say that these two events are independent. We can therefore assess the probability of each of them separately and then multiply the two probabilities together for a final result. Probability of getting tails: 1/2 (since there is one way of getting heads out of two possibilities) Probability of getting zero: 1/10 (since there is one way of getting zero out of ten possibilities) Overall probability: 1/2 x 1/20 = 1/20
What is experimental and theoretical probability?
They are just used to make equations and make more things like more equations and estimates!Theoretical Probability: P(event) the ratio of the number of favorable outcomes to the number of possible outcomes, written as a ratio.example: number of favorable outcomes over number of possible outcomesAmelynn is hungry, so she gets out a bowl and puts in 2 red jelly beans, 3 blue jelly beans, 12 pink jelly beans, and 3 yellow jelly beans. Amelynn likes the pink ones the best. What is the theoretical possibility of her getting a pink jelly bean?Answer: 12 over 20. (or 3 over 5 [simplest form])Explanation: Amelynn put 20 jelly beans in the bowl. She wants the pink ones, andthere are 12 pink jelly beans, which are the favorable outcomes. There are 20 jelly beans, and these are the possible outcomes. This means that it is 12 over 20. You might have to put this in simplest form as well. also this is 60% total.******************************************************************************************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: 3/10Explanation: Amelynn flipped the coin a total of 10 times, getting heads 3 times. Therefore, the answer is: 3/10 or 30%Theoretical probability ... a coin has 2 sides so the theoretical probability of flipping a coin and getting heads is 1/2.Experimental probability... flip a coin 10 time and you get 7 heads so the experimental probability of getting heads is 7/10
Is it possible to toss a coin 20 times and have it land heads-up 20 times is this likely to happen?
It is possible. It is certain with a double headed coin. With a fair coin the event has a probability of 1 in 1048576 or approximately 1 in a million.
When a fair coin is tossed 20 times in a row what is the probability that heads comes up 10 times in a row somewhere in the 20 tosses?
The probability of 10 heads in a row is (0.5)10 = 0.000977 = 0.0977% .It makes no difference what has come before or what comes after.
How many times would a coin have to show heads in 50 tosses to show an experimental probability of 20 percent more than the theoretical probability of getting heads?
Theoretical probability = 0.5 Experimental probability = 20% more = 0.6 In 50 tosses, that would imply 30 heads.
What is the probability of flipping a coin 20 times and getting 1 tails and 1 heads?
None, since that would imply that in 18 cases the coin did not show heads or tails!
How many outcomes are there in an experiment consisting of rolling three dice followed by a tossing coin once?
20
Is it possible to toss a coin 20 times and have it land heads up 20 times?
Yes. The probability of this occurring is 0.520 = 0.00000095367 or 1 in 1,048,576 thus you are more likely to do this than win the lottery
Toss a coin-randomly select a number from 0 to 9 What is the probability of getting tails and selecting a 0?
The result of tossing the coin would not affect which number was selected. So we say that these two events are independent. We can therefore assess the probability of each of them separately and then multiply the two probabilities together for a final result. Probability of getting tails: 1/2 (since there is one way of getting heads out of two possibilities) Probability of getting zero: 1/10 (since there is one way of getting zero out of ten possibilities) Overall probability: 1/2 x 1/20 = 1/20
What is the probability of flipping a coin twenty times and only getting heads twice?
20!/(18!*2!) * (1/2)^20 = 190/1048576 = 0.000181198... So less than 1 in 5000.
Hose flips a coin 50 times and it landed on heads 20 times how many times can she expects to land on tails?
30 times because it landed on heads 20 times, but he flipped the coin 50 times. 20+30=50.
What is experimental and theoretical probability?
They are just used to make equations and make more things like more equations and estimates!Theoretical Probability: P(event) the ratio of the number of favorable outcomes to the number of possible outcomes, written as a ratio.example: number of favorable outcomes over number of possible outcomesAmelynn is hungry, so she gets out a bowl and puts in 2 red jelly beans, 3 blue jelly beans, 12 pink jelly beans, and 3 yellow jelly beans. Amelynn likes the pink ones the best. What is the theoretical possibility of her getting a pink jelly bean?Answer: 12 over 20. (or 3 over 5 [simplest form])Explanation: Amelynn put 20 jelly beans in the bowl. She wants the pink ones, andthere are 12 pink jelly beans, which are the favorable outcomes. There are 20 jelly beans, and these are the possible outcomes. This means that it is 12 over 20. You might have to put this in simplest form as well. also this is 60% total.******************************************************************************************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: 3/10Explanation: Amelynn flipped the coin a total of 10 times, getting heads 3 times. Therefore, the answer is: 3/10 or 30%Theoretical probability ... a coin has 2 sides so the theoretical probability of flipping a coin and getting heads is 1/2.Experimental probability... flip a coin 10 time and you get 7 heads so the experimental probability of getting heads is 7/10
Kalvin tosses a coin five days in a row and gets tails every time Do you think there is something wrong with the coin How can you find out?
There is a 1/16 probability that 5 tosses end with the same result - 1/32 that they are all tails. In this kind of example, most statisticians would not reject the hypothesis of a fair coin unless the probability was less than 5% or 1/20. The null hypothesis is that the coin is a fair coin. If the alternative hypothesis is that something is wrong with the coin, the probability of a result such as the one observed (and its mirror image) is 6.25%. So you would not reject the null hypothesis at the 5% level. However, if your alternative is that the coin favours tails, the probability of as extreme an outcome is 0.03125 or 3.125% and you would reject the null hypothesis. This is a marginal case at the 5% level and you may wish to toss the coin a few more times to reduce the probability of the outcome occurring purely by chance.
What is the probability of getting heads one-half N times when flipping a coin N times?
If N is odd, the probability is 0. If N is even, suppose N=2M then the probability is 2MCM*(1/2)2M which approaches 0 as N (or M) increases. For N = 10, Prob = 0.1762 For N = 20, Prob = 0.1254 For N = 30, Prob = 0.1026 For N = 80, Prob = 0.0630
