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If X takes the value 1 with probability p and 0 with probability (1-p), and there are n independent trials then E(X) = np
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.
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.
Yes it can be negative.
Almost all statistical distribution have a mean. It is the expected value of the random variable which is distributed according to that function.
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?
average number of successes
It is the expected value of the distribution. It also happens to be the mode and median.It is the expected value of the distribution. It also happens to be the mode and median.It is the expected value of the distribution. It also happens to be the mode and median.It is the expected value of the distribution. It also happens to be the mode and median.
If X takes the value 1 with probability p and 0 with probability (1-p), and there are n independent trials then E(X) = np
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.
thas so true
The distribution of the sample mean is bell-shaped or is a normal distribution.
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.
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.
The expected value of the standard normal distribution is equal to the total amount of the value. It is usually equal to it when the value works out to be the same.
The mean of a discrete probability distribution is also called the Expected Value.
This is the answer.