Answer:
By the Central Limit Theorem, an approximately normal distribution, with mean $6425 and standard deviation $344.35.
Explanation:
Central Limit Theorem
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.
Sample mean was $6,425 with a standard deviation of $3,156
This means that
![\mu = 6425, \sigma = 3156](https://img.qammunity.org/2022/formulas/mathematics/college/l4y2saedx1dkr8ysaqb1codxa6hgianlf6.png)
Sample of 84:
This means that
![n = 84, s = (3156)/(√(84)) = 344.35](https://img.qammunity.org/2022/formulas/mathematics/college/siwyj3zbchx94mnbbypqnm7uhrlnb6p82u.png)
a. Which distribution should you use for this problem?
By the Central Limit Theorem, an approximately normal distribution, with mean $6425 and standard deviation $344.35.