Answer:
By the Central Limit Theorem, the sampling distribution of the sample mean amount of money in a savings account is approximately normal with mean of 1,200 dollars and standard deviation of 284.6 dollars.
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.
Average of 1,200 dollars and a standard deviation of 900 dollars.
This means that 
Sample of 10.
This means that 
The sampling distribution of the sample mean amount of money in a savings account is
By the Central Limit Theorem, approximately normal with mean of 1,200 dollars and standard deviation of 284.6 dollars.
Answer:
<em>√3</em>
Step-by-step explanation:
42
because 27+6(2.5)= 27 +15 = 42
Answer:
Step-by-step explanation:
volume of box=6×6×7 in³
he fits gold 2×2×2
so he fits it in 6×6×6
so number of gold boxes=(6×6×6)/(2×2×2)=27
remaining space=1×6×6
number of silver boxes=(1×6×6)/(1×1×1)=36
total boxes he took=27+36=63