Part (a)
rectangularPart (b)
normally distributedPart (c)
positively skewedPart (d)
nonmodalPart (e)
multimodalPart (f)
negatively skewedCentral limit theorem:
If a simple random sample of size n is selected from a distribution with mean and standard deviation, then the distribution of the sample mean approach to the normal distribution, as sample size increases.
So there is given any distribution the sample mean follows the normal distribution.
a)
Using central limit theorem the sample mean follows the normal distribution.
b)
Using central limit theorem the sample mean follows the normal distribution.
c)
Using central limit theorem the sample mean follows the normal distribution.
d)
Using central limit theorem the sample mean follows the normal distribution.
e)
Using central limit theorem the sample mean follows the normal distribution.
f)
Using central limit theorem the sample mean follows the normal distribution.
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