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The chance is 50%-50% that it will be heads or tails; this does not change regardless of the number of previous tosses and their results.

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What is the probability of getting exactly two heads with 4 coin tosses?

To find the probability of getting exactly two heads in four coin tosses, we can use the binomial probability formula. The number of ways to choose 2 heads from 4 tosses is given by the binomial coefficient ( \binom{4}{2} = 6 ). The probability of getting heads on each toss is ( \frac{1}{2} ), so the probability of getting exactly 2 heads is ( \binom{4}{2} \times \left(\frac{1}{2}\right)^2 \times \left(\frac{1}{2}\right)^2 = 6 \times \frac{1}{16} = \frac{6}{16} = \frac{3}{8} ). Thus, the probability of getting exactly two heads is ( \frac{3}{8} ).


What is The experimental probability of a coin landing on head is 712. If the coin landed on tails 30 times find the number of tosses?

The experimental probability of a coin landing on heads is given as ( \frac{712}{n} ), where ( n ) is the total number of tosses. If the coin landed on tails 30 times, then the number of heads is ( n - 30 ). Setting up the equation, we have ( \frac{n - 30}{n} = \frac{712}{n} ). Solving for ( n ), we find that ( n = 742 ), indicating that the total number of tosses is 742.


What is the probability that Beta minus decay will occur on a given neutron in a given second?

The probability is very close to zero.


What is the probability of getting 4 of a kind given 13 cards from a deck of card?

The probability is 1.The probability is 1.The probability is 1.The probability is 1.


What is theoretical probability mathematical wise?

Theoretical probability:Theoretical probability is when you decide what is the probability of something using the information that is given to you!

Related Questions

What is the probability that exactly two times head are being tossed?

The answer depends on how many times the coin is tossed. The probability is zero if the coin is tossed only once! Making some assumptions and rewording your question as "If I toss a fair coin twice, what is the probability it comes up heads both times" then the probability of it being heads on any given toss is 0.5, and the probability of it being heads on both tosses is 0.5 x 0.5 = 0.25. If you toss it three times and want to know what the probability of it being heads exactly twice is, then the calculation is more complicated, but it comes out to 0.375.


When a penny and a nickel are tossed. find the probability that the penny shows heads given that the nickel shows heads?

The probability is 0.5


A coin is tossed and then a die is rolled Find the probability of getting a 5 on the die given that the coin landed tails up?

9/2


If a coin is tossed and then a dice is rolled what is the probability of getting a 5 on the dice given that the coin landed tails up?

These are independent one has no bearing on the other


What does geomeric probability mean?

Geometric probabilities are those that are either given in terms of geometric entities or can be computed in terms of geometric entities.For example, the probability that the ball tossed onto a moving roulette wheel coming up '00' could be considered a geometric probability.


What is the probability of getting exactly two heads with 4 coin tosses?

To find the probability of getting exactly two heads in four coin tosses, we can use the binomial probability formula. The number of ways to choose 2 heads from 4 tosses is given by the binomial coefficient ( \binom{4}{2} = 6 ). The probability of getting heads on each toss is ( \frac{1}{2} ), so the probability of getting exactly 2 heads is ( \binom{4}{2} \times \left(\frac{1}{2}\right)^2 \times \left(\frac{1}{2}\right)^2 = 6 \times \frac{1}{16} = \frac{6}{16} = \frac{3}{8} ). Thus, the probability of getting exactly two heads is ( \frac{3}{8} ).


What is The experimental probability of a coin landing on head is 712. If the coin landed on tails 30 times find the number of tosses?

The experimental probability of a coin landing on heads is given as ( \frac{712}{n} ), where ( n ) is the total number of tosses. If the coin landed on tails 30 times, then the number of heads is ( n - 30 ). Setting up the equation, we have ( \frac{n - 30}{n} = \frac{712}{n} ). Solving for ( n ), we find that ( n = 742 ), indicating that the total number of tosses is 742.


Out of a standard 52 card deck what is the probability of drawing a heart given that a red card was drawn first?

This is a conditional probability, given the card is red, what is the chance it is a heart. Since there are 2 red hearts, the probability if 1/2


What is the meaning of random variable in probability distribution?

It is a variable that can take a number of different values. The probability that it takes a value in any given range is determined by a random process and the value of that probability is given by the probability distribution function.It is a variable that can take a number of different values. The probability that it takes a value in any given range is determined by a random process and the value of that probability is given by the probability distribution function.It is a variable that can take a number of different values. The probability that it takes a value in any given range is determined by a random process and the value of that probability is given by the probability distribution function.It is a variable that can take a number of different values. The probability that it takes a value in any given range is determined by a random process and the value of that probability is given by the probability distribution function.


How does one find the probability of A given B compliment?

P(A given B')=[P(A)-P(AnB)]/[1-P(B)].In words: Probability of A given B compliment is equal to the Probability of A minus the Probability of A intersect B, divided by 1 minus the probability of B.


What atmost means in probability?

all probabilities smaller than the given probability ("at most") all probabilities larger than the given probability ("at least")


The probability of event A occurring given event B has occurred is an example of?

The probability of event A occurring given event B has occurred is an example of conditional probability.