Answer:
a) 471.5 kilo-watt hours.
b) 31.76 kilo-watt hours
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
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
For the population:
Mean 471.5 kilo-watt hours.
Standard deviation of 187.9 kilowatt-hours.
For the sample:
Sample size of 35, by the Central Limit Theorem:
a) Mean
471.5 kilo-watt hours.
b) Standard deviation
![s = (187.9)/(√(35)) = 31.76](https://img.qammunity.org/2021/formulas/mathematics/college/9g3m4bqg6id9tgxm9pm54zggdgpsr51t8u.png)
31.76 kilo-watt hours