Var(X) = (1-p)/p^2
The geometric distribution appears when you have repeated trials of a random variable with a constant probability of success. The random variable which is the count of the number of failures before the first success {0, 1, 2, 3, ...} has a geometric distribution.
There aren't any. Geometric is an adjective and you need a noun to go with it before it is possible to consider answering the question. There are geometric sequences, geometric means, geometric theories, geometric shapes. I cannot guess what your question is about.
If, by geometric number (?) you mean geometric mean, then the answer is 40.
Geometric echo is a repeating shape in a pattern. The stars on the US flag is a geometric echo.
A triangle is a geometric shape.
The exponential distribution and the Poisson distribution.
the variance of the uniform distribution is (a+b)/12
yes
the variance of the uniform distribution function is 1/12(square of(b-a)) and the mean is 1/2(a+b).
A normal distribution can have any value for its mean and any positive value for its variance. A standard normal distribution has mean 0 and variance 1.
It is a discrete distribution in which the men and variance have the same value.
The normal distribution can have any real number as mean and any positive number as variance. The mean of the standard normal distribution is 0 and its variance is 1.
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In a normal distribution, the mean and variance are not equal; rather, they are distinct parameters. The mean represents the central tendency of the distribution, while the variance measures the spread or dispersion of the data around the mean. Specifically, the mean is a single value, whereas the variance is the average of the squared deviations from the mean. Thus, while they are related, they serve different purposes in describing the distribution.
le standard normal distribution is a normal distribution who has mean 0 and variance 1
yes
Poisson distribution or geometric distribution