Answer:
taxes, borrow money, regulate commerce, uniform rule of naturalization, and regulate the value.
Answer:
The only non-zero fixed point is: x = 9/A.
The Step-by-step explanation:
A fixed point of a function is a points that is mapped to itself by the function; g(x) = x. Therefore, in order to find the fixed point of the given function we need to solve the following equation:
g(x) = x
x(10 - Ax) = x
10x - Ax² = x
10x - x -Ax² = 0
9x - Ax² = 0
Ax² - 9x = 0
The solutions of this second order equation are:
x = 0 and x = 9/A.
Since we are only asked for the non-zero fixed points, the solution is: 9/A.
Hey mate
here is your answer
length and width are given in the ratio are ;(4:7)
area of rectangle = (l×b)
therefore,
4x×7x=700
28x^2=700
x^2=700/28
x^2=25
x=5
length =4x=4×5=20, lenght =20 and width =7x so, 7×5=35 width.....
Suppose the dimensions of the rectangle is x by y and let the side enclosed by a house be one of the sides measuring x, then the sides that is to be enclosed are two sides measuring y and one side measuring x.
Thus, the length of fencing needed is given by
P = x + 2y
The area of the rectangle is given by xy,
i.e.
![xy = 288 \\ \\ \\ \\ \Rightarrow y= \frac{288}{x}](https://tex.z-dn.net/?f=xy%20%3D%20288%20%20%5C%5C%20%20%5C%5C%20%20%5C%5C%20%20%5C%5C%20%5CRightarrow%20y%3D%20%5Cfrac%7B288%7D%7Bx%7D%20)
Substituting for y into the equation for the length of fencing needed, we have
![P=x+2\left( \frac{288}{x} \right)=x+ \frac{576}{x}](https://tex.z-dn.net/?f=P%3Dx%2B2%5Cleft%28%20%5Cfrac%7B288%7D%7Bx%7D%20%5Cright%29%3Dx%2B%20%5Cfrac%7B576%7D%7Bx%7D%20)
For the amount of fencing to be minimum, then
![\frac{dP}{dx} =0 \\ \\ \Rightarrow1- \frac{576}{x^2} =0 \\ \\ \Rightarrow \frac{576}{x^2} =1 \\ \\ \Rightarrow x^2=576 \\ \\ \Rightarrow x=\sqrt{576}=24](https://tex.z-dn.net/?f=%20%5Cfrac%7BdP%7D%7Bdx%7D%20%3D0%20%5C%5C%20%20%5C%5C%20%5CRightarrow1-%20%5Cfrac%7B576%7D%7Bx%5E2%7D%20%3D0%20%5C%5C%20%20%5C%5C%20%5CRightarrow%20%5Cfrac%7B576%7D%7Bx%5E2%7D%20%3D1%20%5C%5C%20%20%5C%5C%20%5CRightarrow%20x%5E2%3D576%20%5C%5C%20%20%5C%5C%20%5CRightarrow%20x%3D%5Csqrt%7B576%7D%3D24)
Now, recall that
![y= \frac{288}{x} = \frac{288}{24} =12](https://tex.z-dn.net/?f=y%3D%20%5Cfrac%7B288%7D%7Bx%7D%20%3D%20%5Cfrac%7B288%7D%7B24%7D%20%3D12)
Thus, the length of fencing needed is given by
P = x + 2y = 24 + 2(12) = 24 + 24 = 48.
Therefore, 48 feets of fencing is needed to enclose the garden.
Answer:
The Normal distribution is a continuous probability distribution with possible values all the reals. Some properties of this distribution are:
Is symmetrical and bell shaped no matter the parameters used. Usually if X is a random variable normally distributed we write this like that:
![X \sim N(\mu , \sigma)](https://tex.z-dn.net/?f=%20X%20%5Csim%20N%28%5Cmu%20%2C%20%5Csigma%29)
The two parameters are:
who represent the mean and is on the center of the distribution
who represent the standard deviation
One particular case is the normal standard distribution denoted by:
![Z \sim N(0,1)](https://tex.z-dn.net/?f=Z%20%5Csim%20N%280%2C1%29)
Example: Usually this distribution is used to model almost all the practical things in the life one of the examples is when we can model the scores of a test. Usually the distribution for this variable is normally distributed and we can find quantiles and probabilities associated
Step-by-step explanation:
The Normal distribution is a continuous probability distribution with possible values all the reals. Some properties of this distribution are:
Is symmetrical and bell shaped no matter the parameters used. Usually if X is a random variable normally distributed we write this like that:
![X \sim N(\mu , \sigma)](https://tex.z-dn.net/?f=%20X%20%5Csim%20N%28%5Cmu%20%2C%20%5Csigma%29)
The two parameters are:
who represent the mean and is on the center of the distribution
who represent the standard deviation
One particular case is the normal standard distribution denoted by:
![Z \sim N(0,1)](https://tex.z-dn.net/?f=Z%20%5Csim%20N%280%2C1%29)
Example: Usually this distribution is used to model almost all the practical things in the life one of the examples is when we can model the scores of a test. Usually the distribution for this variable is normally distributed and we can find quantiles and probabilities associated