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:
B. SUBTRACTION PROPERTY OF EQUALITY
Step-by-step explanation:
Answer:
Hello! I think the answer is D: $2.25. Please correct me if i'm wrong.
Step-by-step explanation:
Perimeter P = 2L + 2W
b. P = 2*1010 + 2*1818 = 2020 + 3636 = 5656 inches
c. Area A = WL
d Area = 1010*1818 = 1836180 in^2
10 is double 5 so,
32.5 multiplied by 2 is: 65
answer: 65