Answer:
e. The histogram will begin to look more like the normal curve
Explanation:
The Central Limit Theorem estabilishes that, for a random variable X, with mean
and standard deviation
, a large sample size can be approximated to a normal distribution with mean
and standard deviation
![s = (\sigma)/(√(n))](https://img.qammunity.org/2021/formulas/mathematics/college/tqgdkkovwzq5bzn3f9492laup3ofuhe2qd.png)
According to the Central Limit Theorem, what happens to the histogram of averages as n increases?
The distribution is going to be approximately normal, which means that the histogram will look more like the normal curve.
So the correct answer is:
e. The histogram will begin to look more like the normal curve