Using the Central Limit Theorem, the standard deviation of the sampling distribution of sample means would be of 0.86.
It states that the standard deviation of the sampling distribution of sample means is given by:
[tex]s = \frac{\sigma}{\sqrt{n}}[/tex]
In which:
The parameters for this problem are given as follows:
[tex]\sigma = 6.8, n = 63[/tex].
Hence:
[tex]s = \frac{\sigma}{\sqrt{n}}[/tex]
[tex]s = \frac{6.8}{\sqrt{63}}[/tex]
s = 0.86.
More can be learned about the Central Limit Theorem at https://brainly.com/question/16695444
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