Three phase power is a method of electric power transmission using three wires. Three phase power systems may have a neutral wire that allows the system to use a higher voltage while still allowing lower voltage single phase appliances. In high voltage distributions, it is not common to have a neutral wire, as the loads can simply be connected between phases.
1) Ungrouped2) Grouped 3) Qualitative
electrisity leaves the power plant and is transformed for a long distance at voltages
If this is a three phase VAR meter then you have a leading power factor. There is too much capacitive reactance in the distributions load. This could be from a power factor correction bank of capacitors that did not drop off line when the motor that they were correcting dropped out.
They are as follows: Clumped, Random, and Nearly Uniform. :)
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.
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.