4x/15 = 60/x
4x^2 = 900
x^2 = 225
x = 15
Answer:
We can find the second moment given by:
And we can calculate the variance with this formula:
And the deviation is:
Step-by-step explanation:
For this case we have the following probability distribution given:
X 0 1 2 3 4 5
P(X) 0.031 0.156 0.313 0.313 0.156 0.031
The expected value of a random variable X is the n-th moment about zero of a probability density function f(x) if X is continuous, or the weighted average for a discrete probability distribution, if X is discrete.
The variance of a random variable X represent the spread of the possible values of the variable. The variance of X is written as Var(X).
We can verify that:
And
So then we have a probability distribution
We can calculate the expected value with the following formula:
We can find the second moment given by:
And we can calculate the variance with this formula:
And the deviation is:
R(x) = 60x - 0.2x^2
The revenue is maximum when the derivative of R(x) = 0.
dR(x)/dx = 60 - 0.4x = 0
0.4x = 60
x = 60/0.4 = 150
Therefore, maximum revenue is 60(150) - 0.2(150)^2 = 9000 - 4500 = $4,500
Maximum revenue is $4,500 and the number of units is 150 units
Operations like +, - separates the terms.
Ex: 2x²+ 4yz-z
Answer:
There are total 96 shirts out of which 72 are black and 12 are white and 12 are red.
Step-by-step explanation:
Let the total number of shirts be x.
Then 3/4= 0.75 shirts are black
50% or 50/100 =0.5 of 1/4 ( 1-3/4) remaining are white
and 12 are red
x= 0.75x+0.125x+12
x= 0.875x+ 12
x-0.875x= 12
0.125x= 12
x= 12/0.125
x= 96
There are total 96 shirts out of which 3/4 are black
96*0.75= 72 are black and
96*0.25= 24 are left behind out of which 50% are white.
12 are white and 12 are red.