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.
If you plot data they must take some shape (or another)! Data distributions can take all kinds of shapes. The only constraints are thatthey cannot be negative andthe integral (sum) over all possible values is 1.The shapes can be flat (uniform distribution), symmetric (uniform or Gaussian), asymmetric with one peak somewhere in the middle (Poisson), asymmetric with a peak at an end (exponential). These are examples of different shapes that are attained by common continuous data 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.
I think yes or no
discrete & continuous
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.
Not all IRA distributions are taxable. If you have a traditional IRA, distributions are generally taxable as ordinary income. However, if you have a Roth IRA and meet certain conditions, distributions may be tax-free. Additionally, if you have a nondeductible traditional IRA, only the earnings portion of the distribution is taxable. It is important to consult with a tax professional to understand the tax implications of your specific IRA distributions.
It is equal to zero in ALL distributions.
they are distributed by there density distributions they are distributed by there density distributions
In a sense.Beta distributions are the marginal distributions of the Dirichlet distribution.