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The central limit theorem is based upon the notion of:

a. repeated samples of size n
b. repeated samples that are equal to the square root of the variance
c. none of the above
d. repeated samples that are equal to the square root of the population

1 Answer

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Final answer:

The central limit theorem is based upon the notion of repeated samples of size n.

Step-by-step explanation:

The central limit theorem is based upon the notion of repeated samples of size n. When drawing larger and larger samples and taking their sums or means, the resulting distribution approaches a normal distribution as the sample size increases. This means that the central limit theorem applies to repeated samples of size n rather than any other options listed in the question.

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