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Peter Flom
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The statement is incorrect and it is obvious that it is correctincorrect. The first sentence is a misstatement of the central limit theorem. The second sentence is utter nonsense.

The sample mean is a number, not a distribution. What the CLT is about is the distribution of the means of a large number of samples from a population(s).

The answer to your question is "no" -- the larger the sample the more accurately it reflects the population (other things being equal).

The statement is incorrect and it is obvious that it is correct. The first sentence is a misstatement of the central limit theorem. The second sentence is utter nonsense.

The sample mean is a number, not a distribution. What the CLT is about is the distribution of the means of a large number of samples from a population(s).

The answer to your question is "no" -- the larger the sample the more accurately it reflects the population (other things being equal).

The statement is incorrect and it is obvious that it is incorrect. The first sentence is a misstatement of the central limit theorem. The second sentence is utter nonsense.

The sample mean is a number, not a distribution. What the CLT is about is the distribution of the means of a large number of samples from a population(s).

The answer to your question is "no" -- the larger the sample the more accurately it reflects the population (other things being equal).

Source Link
Peter Flom
  • 128.1k
  • 36
  • 184
  • 424

The statement is incorrect and it is obvious that it is correct. The first sentence is a misstatement of the central limit theorem. The second sentence is utter nonsense.

The sample mean is a number, not a distribution. What the CLT is about is the distribution of the means of a large number of samples from a population(s).

The answer to your question is "no" -- the larger the sample the more accurately it reflects the population (other things being equal).