Q: If you flip a coin and you get a head Is the result of the second flip of the coin dependent or independent?

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An independent probability is a probability that is not based on any other event.An example of an independent probability is a coin toss. Each toss is independent, i.e. not related to, any prior coin toss.An example of a dependent probability is the probability of drawing a second Ace from a deck of cards. The probability of the second Ace is dependent on whether or not a first Ace was drawn or not. (You can generalize this to any two cards because the sample space for the first card is 52, while the sample space for the second card is 51.)

The event whose occurrence is not relying on other the other event is independent e.g the occurance of Head in a coin throw is not dependent on other side, the Tail, so it is an independent event. When two events are depending on each other in order to gain a required result, the events are said to be dependant.

P(A given B)*P(B)=P(A and B), where event A is dependent on event B. Finding the probability of an independent event really depends on the situation (dart throwing, coin flipping, even Schrodinger's cat...).

No. Each flip of each coin is an independent event. The flip of the quarter has no effect on the flip of the penny and vice versa. Also, the previous flip of either coin has no effect on the next flip.

The result of the tenth toss is usually independent of the previous nine so the probability is 0.5.

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independent

If two events are independent of one another, then the outcome of one event does not depend on the outcome of the other event. Example is flipping of two coins. The second coin is not dependent on the outcome of the first flip. But if you want to know if the two coins are the same (either both heads or both tails), then that outcome is dependent on the first coin and the second coin.

An independent probability is a probability that is not based on any other event.An example of an independent probability is a coin toss. Each toss is independent, i.e. not related to, any prior coin toss.An example of a dependent probability is the probability of drawing a second Ace from a deck of cards. The probability of the second Ace is dependent on whether or not a first Ace was drawn or not. (You can generalize this to any two cards because the sample space for the first card is 52, while the sample space for the second card is 51.)

The event whose occurrence is not relying on other the other event is independent e.g the occurance of Head in a coin throw is not dependent on other side, the Tail, so it is an independent event. When two events are depending on each other in order to gain a required result, the events are said to be dependant.

P(A given B)*P(B)=P(A and B), where event A is dependent on event B. Finding the probability of an independent event really depends on the situation (dart throwing, coin flipping, even Schrodinger's cat...).

Two events are said to be independent if the result of the second event is not affected by the result of the first event. Some common ways to teach this are to perform simulations with coin flips.Students need to understand that if A and B are independent events, the probability of both events occurring is the product of the probabilities of the individual events.Students can predict and then observe probabilities of a fixed number of heads or tails.This lets then see the ideas in action.

If it's an independent event then it's probability does not depend on preceding events. For example, if I flip a coin twice the probability that the coin will show 'heads' the second time is independent of what happened the first time; it's just 1/2.

The exact value of a 1961 Queen Elizabeth the Second coin is actually highly dependent on a number of factors. Most importantly, would be the condition of the coin.

No. Each flip of each coin is an independent event. The flip of the quarter has no effect on the flip of the penny and vice versa. Also, the previous flip of either coin has no effect on the next flip.

There are a number of dependent coin dealers throughout the US. Some popular companies are Liberty Coin Service, Springhill Coins and Heartland Coin Gallery.

The result of the tenth toss is usually independent of the previous nine so the probability is 0.5.

An independent event is one that does not affect the probability of another event. An example might be two coin tosses. No matter what the first coin toss is, the second coin toss is still a 50:50 proposition.