The answer to this question is 3744
Answer:
True
Step-by-step explanation:

subtract
from both sides

<em>plz mark me brainliest.</em> ;)
Answer:
c≈34.66
Step-by-step explanation:
my guess would be c. but id wait for someone else to answer just to be sure
Answer:
The standard deviation of the distribution of sample means for samples of size 60 is of 1.2264.
Step-by-step explanation:
Central Limit Theorem
The Central Limit Theorem establishes 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.
Standard deviation is 9.5 for a population.
This means that 
Sample of 60:
This means that 
What is the standard deviation of the distribution of sample means for samples of size 60?

The standard deviation of the distribution of sample means for samples of size 60 is of 1.2264.