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Q: Why do you think central distribution can be so unprofitable?
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Can you send me to a geographical distribution diagram of the Gobi Desert?

this is a geographical distribution of gobi desert i think so


When will the next Pokemon distribution start in 2012?

No, I do not think so


Why is average called the measure of central tendency?

Because, whatever the underlying distribution, as more and more samples are taken from ANY population, the average of those samples will have a standard normal distribution whose mean will be their average. The normal (or Gaussian) distribution is symmetric and so its mean lies at the centre of the probability distribution.


Will the sampling distribution of the mean always be approximatelly normally distributed?

Yes, and more so for larger samples. (It follows from the Central Limit Theorem.)


Is Guatemala considered middle America?

I think what you mean is Central America. :) So yes, it is a part of Central America.


What is importance of central limit theorem?

The importance is that the sum of a large number of independent random variables is always approximately normally distributed as long as each random variable has the same distribution and that distribution has a finite mean and variance. The point is that it DOES NOT matter what the particular distribution is. So whatever distribution you start with, you always end up with normal.


Why is bell-shaped distribution so common in nature?

It is a consequence of the Central Limit Theorem (CLT). Suppose you have a large number of independent random variables. Then, provided some fairly simple conditions are met, the CLT states that their mean has a distribution which approximates the Normal distribution - the bell curve.


Does the nucleus move into the central vacuole?

I think it will because the central vacuole gets bigger so it will go over the nucleus.


Why normal distribution used in solving probability problems?

Because of the Central Limit Theorem, the mean value of sets of observations is distributed Normally. Irrespective of the underlying distribution of a variable, the distribution of a sum (or mean) of such variables tends towards the Normal distribution. So, for sufficiently large samples, all distributions can be approximated by thye Normal distribution. One of the consequences is that the distribution has been studied extensively and a lot is known about tests based on it.


What day and time is so you think you can dance on?

It is on at 8/7 Central on Mondays.


Why do you think Olearius's book was so popular and influential in central and western Europe?

no


Does the t distribution becomes more skewed As the degree of freedom increases?

The t-distribution is symmetric so the question is irrelevant.The t-distribution is symmetric so the question is irrelevant.The t-distribution is symmetric so the question is irrelevant.The t-distribution is symmetric so the question is irrelevant.