Using the Central Limit Theorem, the false statement is given by:
B. [tex]\mu[/tex] is the sample mean. It is used to estimate the population mean.
What does the Central Limit Theorem state?
It states that, for a normally distributed random variable X, with population mean [tex]\mu[/tex] and population 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 error [tex]s_E = \frac{\sigma}{\sqrt{n}}[/tex].
If we have the standard deviation for the sample s, the Central Limit Theorem can also be applied.
The sample mean is given by [tex]\overline{x}[/tex], hence option B is false.
More can be learned about the Central Limit Theorem at https://brainly.com/question/24663213
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