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Is the expected value of a random variable more cumbersome to work with then an objective probability distribution?
Wiki User
∙ 9y ago
Not necessarily. The answer depends on the event under consideration.
Not necessarily. The answer depends on the event under consideration.
Not necessarily. The answer depends on the event under consideration.
Not necessarily. The answer depends on the event under consideration.
Wiki User
∙ 9y ago
Wiki User
∙ 9y agoNot necessarily. The answer depends on the event under consideration.
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The expected value is what kind of aspect of how probability distribution is characterized?
Expected value is the outcome of confidence of how probability distribution is characterized. If the expected value is greater than the confidence interval then the results are significant.
Can the expected value of a discrete probability distribution be negative?
Yes it can be negative.
What is symmetric distribution?
It is a probability distribution in which the probability of the random variable being in any interval on one side of the mean (expected value) is the same as for the equivalent interval on the other side of the mean.
Another name for the mean of a probability distribution is its expected value true or false?
Yes, it is true.
What are 5 questions you could ask a student about probability distribution?
The answer depends on the level at which the student is expected to be. A 15-year old should know the probability of getting heads on the toss of a coin but even a mathematics graduate - who did not specialise in probability - would be expected to be able to prove the mathematical relationship between the Normal distribution and the F-distribution. If asked, most student would not even know what the second part of the sentence meant.
What is the meaning of expected value in a probability distribution?
The expected value is the average of a probability distribution. It is the value that can be expected to occur on the average, in the long run.
The expected value is what kind of aspect of how probability distribution is characterized?
Expected value is the outcome of confidence of how probability distribution is characterized. If the expected value is greater than the confidence interval then the results are significant.
What is The mean of a discrete probability distribution is also called the?
The mean of a discrete probability distribution is also called the Expected Value.
Consider a binomial distribution with 10 trials What is the expected value of this distribution if the probability of success on a single trial is 0.5?
Consider a binomial distribution with 10 trials What is the expected value of this distribution if the probability of success on a single trial is 0.5?
What is the expected value of this distribution if the probability of success on a single trail is 0.5?
This is the answer.
Can the expected value of a discrete probability distribution be negative?
Yes it can be negative.
What is symmetric distribution?
It is a probability distribution in which the probability of the random variable being in any interval on one side of the mean (expected value) is the same as for the equivalent interval on the other side of the mean.
What shows the skewness of a probability distribution?
The third moment. That is, the expected value of the cubes of the deviations from the mean.
Another name for the mean of a probability distribution is its expected value true or false?
Yes, it is true.
What is Hypothesis Testing of Goodness-of-Fit?
A test using relative errors comparing a frequency table to the expected counts determined using a given probability distribution; the null hypothesis is that the given probability distribution fits the data's distribution.
What are 5 questions you could ask a student about probability distribution?
The answer depends on the level at which the student is expected to be. A 15-year old should know the probability of getting heads on the toss of a coin but even a mathematics graduate - who did not specialise in probability - would be expected to be able to prove the mathematical relationship between the Normal distribution and the F-distribution. If asked, most student would not even know what the second part of the sentence meant.
How is the expected value of a normal distribution computed?
If a random variable X is distributed normally with probability distribution function p(x), then the expected value of X is E(X) = integral of x*p(x)dx evaluated over the whole of the real line.
