Answer:
The standard error of the mean for this sample is 9.1
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, which is also called standard error of the mean,
.
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:
![\sigma = 63.7, n = 49](https://img.qammunity.org/2021/formulas/mathematics/college/qd7l3gp4ci2twquhz7fy72n5y513mhscec.png)
So
![s = (63.7)/(√(49)) = 9.1](https://img.qammunity.org/2021/formulas/mathematics/college/hz0uuajhda1x3m9sjgsi70uhoopv3bkxi7.png)
The standard error of the mean for this sample is 9.1