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b)
Get the probability of the person being selected at random who is
having an average or above average professional knowledge, as well as
excellent potential advancement.
4.
Correctly, what is the Central Limit Theorem (CLT)? Explain in
full detail why is it essential?
1)
When the samples of size of at least 30 came from random
population, then the sampling distribution have an estimated normal
distribution;
2)
If the population is distributed accordingly, then the sampling
distribution have a normal distribution as well.
3)
For any kind of sample size, the population is normally
distributed.
4)
it.
This is beyond the result of CLT, than the accurate statement of
The CLT is essential because it provides the sampling distribution of the
sample means.
5.
Indicate whether each statement is valid with a “Yes” or “No.”
a.
Under particular limitations, the binomial distribution can be
estimate by the normal distribution allowing us to apply the normal
distribution for computation with the binomial distribution.
b.
As what has been stated in CLT, the sampling distribution of the
sampling mean estimates the normal distribution in a manner that it may
not enhance the size of the given samples.
c.
The CLT may not be used until the population probability
distribution become identifiable.