Answer: The central limit theorem tells us that when random samples are chosen the results tend to approach a normal distribution.
The basic idea is that the more random samples that you select, the closer you should get to the mean. In most cases, 30 or more samples is regarded as a large enough sample to get close to the mean. Our sample is 48, so we should be close to the mean.
Do you have a picture of the problem
Answer:
The variance of these investment returns is 74
Step-by-step explanation:
Given:
Series = 10, 30, 15, 5, 20
To Find:
variance of a series = ?
Solution:
The variance of the series = 



Now

= 
= 36 + 196 +121 + 1+ 16
= 370
Now
= 74
Answer:
ummmmm. I can not see the question...
The answer is 32 cm. for the hexagon