For some kinds of distributions one, for others kinds, the other.
No. There are many other distributions, including discrete ones, that are symmetrical.
There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.
In a sense.Beta distributions are the marginal distributions of the Dirichlet distribution.
Yes. And that is true of most probability distributions.
For some kinds of distributions one, for others kinds, the other.
There are at least 300 different distributions, and the open-source model of the kernel allows you to make your own distribution.
No. There are many other distributions, including discrete ones, that are symmetrical.
Nothing. There are plenty of distributions that have no node (or several).Nothing. There are plenty of distributions that have no node (or several).Nothing. There are plenty of distributions that have no node (or several).Nothing. There are plenty of distributions that have no node (or several).
It depends on the type of IRA you have. Distributions from a traditional IRA are taxable. Distributions from a Roth IRA are not taxable.
discrete & continuous
I think yes or no
No, you do not pay FICA taxes on 401(k) distributions.
There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.There is no such thing as "the usual sampling distribution". Different distributions of the original random variables will give different distributions for the difference between their means.
they are distributed by there density distributions they are distributed by there density distributions
It is equal to zero in ALL distributions.
In a sense.Beta distributions are the marginal distributions of the Dirichlet distribution.