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Q: How did the outcome of the civil war change the distribution of power asks sorority between the US and the state governments?

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The outcome was the Native Americans lost their lands, were killed, and moved to reservations.

the side with the most population won because they had more power

it means we Americans decided the outcome.

they both had different causes of their revolution, also the outcome of the American revolution was Independence if i remember. The outcome of the french revolution was the end of taxation without representation and also the peoples independence from the monarchy. I'm not sure if that helps you, but i did my best lol

The outcome of the American Revolutionary War was peace of Paris and American Independence. P.S. i am sum1 else and i just wanted to say that the outcome of the american revolutionary war was to have peace and being not controled by the british.

Related questions

The distribution depends on what the variable is. If the key outcome is the number on the top of the die, the distribution in multinomial (6-valued), not binomial. If the key outcome is the number of primes, composite or neither, the distribution is trinomial. If the key outcome is the number of sixes, the distribution is binomial with unequal probabilities of success and failure. If the key outcome is odd or even the distribution is binomial with equal probabilities for the two outcomes. Thus, depending on the outcome of interest the distribution may or may not be binomial and, even when it is binomial, it can have different parameters and therefore different shapes.

The equality of outcome is the standard of equality that is most concerned with the distribution of resources. Equality of outcome is used regularly in politics.

the Holocaust.

No. The fact that the outcome of one trial does not affect the outcome of any other trial follows from the fact that the trials that are independent. Whether the distribution is binomial or not is totally irrelevant.

It models the outcome of a number of independent trials in which each trial has only one outcome [that is of interest] with a constant probability of that outcome. There are random processes that meet these requirements exactly as well as others that may be approximated by the distribution.

Uniform probability can refer to a discrete probability distribution for which each outcome has the same probability. For a continuous distribution, it requires that the probability of the outcome is directly proportional to the range of values in the desired outcome (compared to the total range).

Uniform probability can refer to a discrete probability distribution for which each outcome has the same probability. For a continuous distribution, it requires that the probability of the outcome is directly proportional to the range of values in the desired outcome (compared to the total range).

Distribution decisions

A uniform distribution.A uniform distribution.A uniform distribution.A uniform distribution.

an outcome

It is the probability distribution function that is relevant for the experiment.

Associates a particulare probability of occurrence with each outcome in the sample space.