<span>(-2.678) + 4.5 + (-0.68)= 1.142
since .1 is in the tenth place and 42 isnt greater than 50, the answer would be 1.1. </span>
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.
Answer:
Just multiply:
= 0.06×0.021
= 1.26
is this the right answer I don't even know my answer