Answer:
20.27
Step-by-step explanation:
The Central Limit Theorem estabilishes that, for a random variable X, with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the sample means with size n of at least 30 can be approximated to a normal distribution with mean [tex]\mu[/tex] and standard deviation [tex]s = \frac{\sigma}{\sqrt{n}}[/tex]
Using the Central Limit Theorem for Means, what is the standard deviation for the sample mean distribution?
This is s when [tex]\sigma = 136, n = 45[/tex]. So
[tex]s = \frac{136}{\sqrt{45}} = 20.27[/tex]
So the correct answer is:
20.27