Answer:
By the Central Limit Theorem, the sampling distribution is approximately normal, with mean 8989 and standard deviation 52.92.
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.
Mean number of steps per day is 8989 with a standard deviation of 688.
This means that
![\mu = 8989, \sigma = 688](https://img.qammunity.org/2022/formulas/mathematics/college/14zoswtigjdnbbg0ynskdl8ci0nkq3azoy.png)
Describe completely the sampling distribution of the resulting mean number of steps per day for this sample of 169 VCU students who track their steps each day.
Sample of 169 means that
![n = 169](https://img.qammunity.org/2022/formulas/mathematics/college/guh3mcml769z50ayw4m9ljnxk7qw8axult.png)
By the Central Limit Theorem, the sampling distribution is approximately normal, with mean
and standard deviation
.