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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.

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7y ago

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If the mean of a symmetric distribution is 130 which of these values could be the median of the distribution?

If it is a symmetric distribution, the median must be 130.


Does the t distribution becomes more skewed As the degree of freedom increases?

The t-distribution is symmetric so the question is irrelevant.The t-distribution is symmetric so the question is irrelevant.The t-distribution is symmetric so the question is irrelevant.The t-distribution is symmetric so the question is irrelevant.


Is the F distribution a symmetric distribution?

No.It is asymmetric.


Can mean and median have same values?

Yes, they can.Yes, they can. In a symmetric distribution they will be the same.


Can a normal distribution curve be symmetric or left-skewed or right-skewed?

Symmetric


Is uniform distribution symmetric?

yes it is


Is a binomial distribution symmetric?

No, in general is not. It is only symmetric if the probability of success in each trial is 0.5


What is difference between skew binomial and symmetric binomial distribution?

In a symmetric binomial distribution, the probabilities of success and failure are equal, resulting in a symmetric shape of the distribution. In a skewed binomial distribution, the probabilities of success and failure are not equal, leading to an asymmetric shape where the distribution is stretched towards one side.


What can be used in a bell curved graph?

A symmetric distribution.


Does this means that all symmetric distribution are normal?

24


When each data class has the same frequency the distribution is symmetric?

No. It would not be symmetric if the data classes were of different widths.


Does this means that all symmetric distribution are normal Explain?

Don't know what "this" is, but all symmetric distributions are not normal. There are many distributions, discrete and continuous that are not normal. The uniform or binomial distributions are examples of discrete symmetric distibutions that are not normal. The uniform and the beta distribution with equal parameters are examples of a continuous distribution that is not normal. The uniform distribution can be discrete or continuous.