Answer:
5
Step-by-step explanation:
First box (under 1) is 7, next box (above 12.5) is 6.5 and the last box is 16
Explanation:
The sample mean is not always equal to the population mean but if we take more and more number of samples from the population then the mean of the sample would become equal to the population mean.
The Central Limit Theorem states that we can have a normal distribution of sample means even if the original population doesn't follow normal distribution, But we have to take a lot of samples.
Suppose a population doesn't follow normal distribution and is very skewed then we can still have sampling distribution that is completely normal if we take a lot of samples.
Answer:
plot the first point on (0,-4)
from there, rise 2, then run 3
plot another point on (3,-2)
plot another on (6,0), and so on
<em><u>Plz mark as brainliest if correct! Have a nice day!!! </u></em>
<em><u>-Lil G</u></em>
Answer:
D (-5,-2) E (0,-2), and F (-4,-6)
Step-by-step explanation:
hope it helps
