Answer:
By the Central Limit Theorem, the mean of the sampling distribution of sample means would be 5.4 years.
Step-by-step 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.
In this problem, we have that:
The mean for the entire population is 5.4 years.
So, by the Central Limit Theorem, the mean of the sampling distribution of sample means would be 5.4 years.
The 7 in the hundreds place is 10 times bigger than the 7 in the tens place
There are a couple of ways to tackle this one, using the 45-45-90 rule or just using the pythagorean theore, let's use the pythagorean theorem.
the angle at A is 45°, and its opposite side is BC, the angle at C is 45° as well, and its opposite side is AB, well, the angles are the same, thus BC = AB.
hmmm le'ts call hmmm ohh hmmm say z, thus BC = AB = z.
Answer:x=-8
Step-by-step explanation:subtract 21 from both sides then simplify 31-21 to -8
