Answer:
By the Central Limit Theorem, it is approximately normal with mean 650 and standard deviation 4.
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.
Mean of 650 and a standard deviation of 24.
This means that 
.
Sample of 36:
This means that 
What is the shape of the sampling distribution you would expect to produce?
By the Central Limit Theorem, it is approximately normal with mean 650 and standard deviation 4.
Answer:
(4, 5 )
Step-by-step explanation:
Moving 7 left is in the x direction and means subtract 7 from the x- coordinate
Moving 5 down is in the y direction and means subtract 5 from the y- coordinate, that is
(11, 10 ) → (11 - 7, 10 - 5 ) → (4, 5 )
Answer:
30.651
Step-by-step explanation:
hope it works!! :D
Answer:
14
Step-by-step explanation:
there are two days whose mean is 11.for you to get the mean of 11 you had divided by 2
multiply 11 by 2 which is 22
then minus fridays which is 8
Since that is only one set of numbers, you would have to start on the origin, then move right on the x-axis twice because the first number is 2, and stay there for the other half of the equation since the other number is 0.
