Using the Central Limit Theorem, it is found that the option that contains the salary which is least likely to be the average salary of another of the groups is given by:
D. $76,000
The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean [tex]\mu[/tex] and standard deviation [tex]s = \frac{\sigma}{\sqrt{n}}[/tex].
Considering the average salary of one of the groups was $88,000, and that there was low variability, most sample means will be clustered around $88,000, and the one which is the farthest, from an absolute value standpoint, is given by option D.
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