The shape of the population can be disregarded when working with sampling distribution of sample mean.
The correct option is Option D)
What is central limit theorem?
The central limit theorem in probability theory proves that, even if independent random variables are not normally distributed in themselves, in many cases, when they are added together, their correctly normalized sum tends toward a normal distribution.
As in the central limit theorem mean and standard deviation is given but there is not mention of shape of the distribution.
Hence shape of the distribution is not taken into considerations.
Therefore, The shape of the population can be disregarded when working with sampling distribution of sample mean.
The correct option is Option D)
To lean more about central limit theorem please refer the following link
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