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What is the sum of the probabilities of each outcome multiplied by the outcome value?
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∙ 13y ago
expected value
Wiki User
∙ 13y ago
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How do you give the probability of a sum?
You find the event space for the random variable that is the required sum and then calculate the probabilities of each favourable outcome. In the simplest case it is a convolution of the probability distribution functions.
What re the three criteria needed for something to be a probability distribution?
A probability distribution must have a well defined domain - that is, the set of possible outcomes.For each possible outcome, there must be a non-negative value associated - the probability of that outcome.The sum of the probabilities, over all possible outcomes, must be 1.
John will toss a coin three times What is the probability that the coin will land heads up all 3 times?
(0.5)*(0.5)*(0.5) = 0.125 or 12.5% Please note the following in computing probabilities: Each toss is an independent event, the result of one toss does not affect the outcome of the next. The only outcomes are heads and tails. The probability of either outcome is 0.50 and does not change. Also note that many problems in real life are unlike coin flips, events are dependent on each other, outcomes are numerous, and not easily assigned probabilities. This does not necessarily make calculation of probabilities impossible, only more complicated.
What is a probability distribution?
A probability distribution is a function that describes the probability of obtaining a certain outcome where the outcomes are not equally likely. There is a fixed probability of getting each outcome, but the probabilities are not necessarily equal. For example, roll 2 dice, there are 36 equally likely outcomes with a probability of each occurring being 1/36. However if we look at the sum of the numbers, there is only one outcome that gives a sum of 2 (1&1) , so P(sum 2) = 1/36, but six outcomes that give the sum of 7 (1&6, 2&5, 3&4, 4&3, 5&2, 6&1), so P(sum 7) = 6/36 = 1/6. Probability distributions can be tabulated, or there are functions that can be used to calculate the probabilities of getting each outcome. A probability distribution is a function that describes the probability of obtaining a certain outcome where the outcomes are not equally likely. There is a fixed probability of getting each outcome, but the probabilities are not necessarily equal. For example, roll 2 dice, there are 36 equally likely outcomes with a probability of each occurring being 1/36. However if we look at the sum of the numbers, there is only one outcome that gives a sum of 2 (1&1) , so P(sum 2) = 1/36, but six outcomes that give the sum of 7 (1&6, 2&5, 3&4, 4&3, 5&2, 6&1), so P(sum 7) = 6/36 = 1/6. Probability distributions can be tabulated, or there are functions that can be used to calculate the probabilities of getting each outcome.
When you role a die there 36 possible combinations What is the probability of each possible outcome?
Each outcome is equally likely and so the probability of each outcome is 1/36.
What does nonreplacement mean in probability?
It refers to experiments where more than one tokens are randomly selected from a set of tokens (of different colours). If the the token is replaced after each selection, the probabilities remain constant whereas if the token is not replaced - as the question suggests - the probabilities change, depending on the outcome of the selection.It refers to experiments where more than one tokens are randomly selected from a set of tokens (of different colours). If the the token is replaced after each selection, the probabilities remain constant whereas if the token is not replaced - as the question suggests - the probabilities change, depending on the outcome of the selection.It refers to experiments where more than one tokens are randomly selected from a set of tokens (of different colours). If the the token is replaced after each selection, the probabilities remain constant whereas if the token is not replaced - as the question suggests - the probabilities change, depending on the outcome of the selection.It refers to experiments where more than one tokens are randomly selected from a set of tokens (of different colours). If the the token is replaced after each selection, the probabilities remain constant whereas if the token is not replaced - as the question suggests - the probabilities change, depending on the outcome of the selection.
What is the definition of expected outcome?
The expected outcome of an experiment, where the outcomes have discrete values, is the sum of the values of each outcome multiplied by the probability of that value occurring. For continuous variables, it is the integral of each value multiplied by the probability of that value being attained. The expected value for a variable is the [arithmetic] mean for that variable. Note, though, that the arithmetic mean may be unrealisable. For example, the expected value for the roll of a fair die is 1*(1/6) + 2*(1/6) + 3*(1/6) + 4*(1/6) + 5*(1/6) + 6*(1/6) = 21/6 = 31/2. And no matter how hard you try, you will not roll 31/2! What the expected value says is that, if you roll the die many times, the average of all the values that you get will be approximately 31/2.
Draw the probability tree diagram for flipping the coin two times showing the outcome?
Each toss outcome has a probability of 1/2; picture copied from the related link. The related link does a good job explaining tree diagrams and probabilities.
How do you give the probability of a sum?
You find the event space for the random variable that is the required sum and then calculate the probabilities of each favourable outcome. In the simplest case it is a convolution of the probability distribution functions.
What is the sequence of 107 214 642 2568 12840?
Each number is multiplied by an incrementing value. 107 is multiplied by 2, 214 is multiplied by 3, 642 is multiplied by 4 and so on.
Definition of product in math terms?
The definition of a product is the outcome number of two or more numbers that have been multiplied by each other.
What re the three criteria needed for something to be a probability distribution?
A probability distribution must have a well defined domain - that is, the set of possible outcomes.For each possible outcome, there must be a non-negative value associated - the probability of that outcome.The sum of the probabilities, over all possible outcomes, must be 1.
What comes next -5 25 -125 625?
Each value is being multiplied by -5. The next value will be -3125.
How do you obtain a probability distribution?
Find all the possible outcomes and the probabilities associated with each. That information comprises the probability distribution.Find all the possible outcomes and the probabilities associated with each. That information comprises the probability distribution.Find all the possible outcomes and the probabilities associated with each. That information comprises the probability distribution.Find all the possible outcomes and the probabilities associated with each. That information comprises the probability distribution.
Expanded form of -4²?
The number that is represented by the sum of each digit multiplied by its place value
John will toss a coin three times What is the probability that the coin will land heads up all 3 times?
(0.5)*(0.5)*(0.5) = 0.125 or 12.5% Please note the following in computing probabilities: Each toss is an independent event, the result of one toss does not affect the outcome of the next. The only outcomes are heads and tails. The probability of either outcome is 0.50 and does not change. Also note that many problems in real life are unlike coin flips, events are dependent on each other, outcomes are numerous, and not easily assigned probabilities. This does not necessarily make calculation of probabilities impossible, only more complicated.
What is a probability distribution?
A probability distribution is a function that describes the probability of obtaining a certain outcome where the outcomes are not equally likely. There is a fixed probability of getting each outcome, but the probabilities are not necessarily equal. For example, roll 2 dice, there are 36 equally likely outcomes with a probability of each occurring being 1/36. However if we look at the sum of the numbers, there is only one outcome that gives a sum of 2 (1&1) , so P(sum 2) = 1/36, but six outcomes that give the sum of 7 (1&6, 2&5, 3&4, 4&3, 5&2, 6&1), so P(sum 7) = 6/36 = 1/6. Probability distributions can be tabulated, or there are functions that can be used to calculate the probabilities of getting each outcome. A probability distribution is a function that describes the probability of obtaining a certain outcome where the outcomes are not equally likely. There is a fixed probability of getting each outcome, but the probabilities are not necessarily equal. For example, roll 2 dice, there are 36 equally likely outcomes with a probability of each occurring being 1/36. However if we look at the sum of the numbers, there is only one outcome that gives a sum of 2 (1&1) , so P(sum 2) = 1/36, but six outcomes that give the sum of 7 (1&6, 2&5, 3&4, 4&3, 5&2, 6&1), so P(sum 7) = 6/36 = 1/6. Probability distributions can be tabulated, or there are functions that can be used to calculate the probabilities of getting each outcome.
