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What does the expected value of a binomial distribution with n trials tell you?
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∙ 13y ago
average number of successes
Wiki User
∙ 13y ago
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What is the mean of a normal distribution?
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.
What is the expected value of the standard normal distribution equal to?
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.
What is the expected value of this distribution if the probability of success on a single trail is 0.5?
This is the answer.
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.
A child rolls a 6-sided die 6 times What is the probability of the child rolling exactly two fours?
This is a binomial probability distribution with the following criteria: Number of trials = 6, number of successes = 2, probability of success = 1/6 or 0.16667. Because of the probability value not being a typical number, there is not a table to go to look the answer up. The math is tedious. So, we go to a binomial probability calculator and enter in the aforementioned data to obtain the answer of 0.201.
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?
Which expression is used to find the expected value of X in binomial distribution?
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
What is the mean of a normal distribution?
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.
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 expected value of the standard normal distribution equal to?
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.
Can the binomial distribution be normalized?
No. I am using "normalization" as used in probability theory as application of a normalizing constant to a value, to make it conform to a certain distribution.
What is the expected value of this distribution if the probability of success on a single trail is 0.5?
This is the answer.
The mean or expected value of the distribution of a discrete random variable is?
30.47
Can the expected value of a discrete probability distribution be negative?
Yes it can be negative.
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.
What conditions must be met in order to use the normal distribution to approximate the binomial distribution?
The condition is that the number of trials, n, is "sufficiently" large. There is no specific value for n. If p, the probability of success at each individual trial is close to 0.5 then n > 25 is good enough. If p is either very close to 0 or 1, then n needs to be larger.
