Answer:
The sampling distribution of the sample mean price will be approximately normal with mean $1.34 and standard deviation $0.0537.
Explanation:
The Central Limit Theorem estabilishes that, for a random variable X, with mean
and standard deviation
, the sample means with size n of at least 30 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)
What will be the shape of the sampling distribution of the sample mean price
Mean = $1.34
Standard deviation
![s = (0.36)/(√(45)) = 0.0537](https://img.qammunity.org/2021/formulas/mathematics/college/5sb4cyz0ed3a58vzxjwhlr7x972mebmwu1.png)
The sampling distribution of the sample mean price will be approximately normal with mean $1.34 and standard deviation $0.0537.