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What else can I help you with?
What were the similarities and differences between the Central Powers and Allies?
Allies and central powers are so kool and if u dont know then u are so stupid!!!! :) LOSER!!!!
Is there a So You Think You Can Dance for kids?
There is a chance for kids to go in So You Think You Can Dance.
Are short men considered attractive?
yes,i think so yes,i think so
The long term of the distribution of dvds on the film and music industry?
that's the question im asking you guys so answer me
Why do you think ruby was so courageous?
Do you think that was courageous
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
Is Guatemala considered middle America?
I think what you mean is Central America. :) So yes, it is a part of Central America.
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.)
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 do you think Olearius's book was so popular and influential in central and western Europe?
no
What day and time is so you think you can dance on?
It is on at 8/7 Central on Mondays.
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.
Can you make email from wizard central?
Sorry, I don't think so, Wizard 101 Central is a forum, you can make an account but not an email account.
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.
