Answer:
The standard deviation of the sampling distribution of the sample mean score for a random sample of 36 students is 1.
Explanation:
The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean
and standard deviation
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean
and standard deviation
.
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:

Then, by the Central Limit Theorem:



The standard deviation of the sampling distribution of the sample mean score for a random sample of 36 students is 1.