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.
No.It is asymmetric.
yes it is
No, in general is not. It is only symmetric if the probability of success in each trial is 0.5
A symmetric distribution.
It is a continuous parametric distribution belonging to the family of exponential distributions. It is also symmetric.
If it is a symmetric distribution, the median must be 130.
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.
No.It is asymmetric.
Yes, they can.Yes, they can. In a symmetric distribution they will be the same.
Symmetric
yes it is
No, in general is not. It is only symmetric if the probability of success in each trial is 0.5
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.
A symmetric distribution.
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No. It would not be symmetric if the data classes were of different widths.
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.