Respuesta :
Answer:
O 45 / √1,215
Step-by-step explanation:
The Central Limit Theorem estabilishes 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, or standard error [tex]s = \frac{\sigma}{\sqrt{n}}[/tex].
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
In this problem, we have that:
[tex]\sigma = 45, n = 1215[/tex]
Then
[tex]s = \frac{\sigma}{\sqrt{n}} = \frac{45}{\sqrt{1215}}[/tex]
So the correct answer is:
O 45 / √1,215
To identify the the standard error, in minutes, we have to apply Central Limit Theorem.
The correct option is (c) [tex]\dfrac{45}{\sqrt{1215} }[/tex].
Central limit theorem
As per the central limit theorem, if population with mean and standard deviation take large random sample then the distribution of sample mean will normally distributed.
Given:
The standard deviation is [tex]\sigma =45[/tex]
The random variable is [tex]n=1215[/tex].
How to apply central limit theorem?
Write the formula to find the standard error.
[tex]s=\dfrac{\sigma}{\sqrt{n} }[/tex]
Substitute the value.
[tex]s=\dfrac{45}{\sqrt{1215} }[/tex]
Thus, the correct option is (c) [tex]\dfrac{45}{\sqrt{1215} }[/tex].
Learn more about Central Limit Theorem here:
https://brainly.com/question/898534