Respuesta :
Answer:
d.Unknown, we don’t have enough information to determine the shape
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 [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:
We don't know the shape of the distribution of the meetings time.
The sample size is smaller than 30.
So we can't apply the central limit theorem, and the correct answer is:
d.Unknown, we don’t have enough information to determine the shape
The shape of the distribution will be unknown.
- It should be noted that the Central Limit Theorem states that, for a normally distributed random variable X, with mean and standard deviation, then it should be noted that the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean and standard deviation.
- Based on the information given, for a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30. It can be deduced that we don't know the shape of the distribution. Therefore, the shape of the distribution will be unknown.
Learn more about shapes on:
https://brainly.com/question/16501078
