For number 1, add the sides of the triangle. They are all given. The answer is 19.
For number 2, you use the formula for circumference, 2 times pi times radius. The answer is 43.96.
For number 3, I assume that 5 is half of one side. You would double 5 to get ten and multiply it by four, since there are four sides in a square. The answer is 40.
For number 4, you would multiply 5 times pi, but don't solve it. ( since the directions are to leave the answer in terms of pi) The answer is 5 pi.
For number 5, add all the sides together like number 1. The answer is 18.
Y = .7x + 29
x = miles driven and, y = total cost of renting the truck
Answer:
1/8
Step-by-step explanation:
x-8y=-1
First, put the equation in slope intercept form ( y= mx+b where m is the slope and b is the y intercept)
-8y = -x-1
y = 1/8x +1/8
The slope is 1/8 and the y intercept is 1/8
The slope for parallel lines is the same for all parallel lines
1/8
If the ratio of the width to the length is 1 : 2 then, we can represent their respective lengths using x and 2x.
Width = x
Length = 2x
2(x) + 2(2x) = 324
2x + 4x = 324
6x = 324
x = 54
2x = 108
The width is 54 ft. and the length is 108 feet. Hope this helps!
Answer:
Step-by-step explanation:
Matrix addition. If A and B are matrices of the same size, then they can be added. (This is similar to the restriction on adding vectors, namely, only vectors from the same space R n can be added; you cannot add a 2‐vector to a 3‐vector, for example.) If A = [aij] and B = [bij] are both m x n matrices, then their sum, C = A + B, is also an m x n matrix, and its entries are given by the formula
Thus, to find the entries of A + B, simply add the corresponding entries of A and B.
Example 1: Consider the following matrices:
Which two can be added? What is their sum?
Since only matrices of the same size can be added, only the sum F + H is defined (G cannot be added to either F or H). The sum of F and H is
Since addition of real numbers is commutative, it follows that addition of matrices (when it is defined) is also commutative; that is, for any matrices A and B of the same size, A + B will always equal B + A.
