Answer:
6) a) 15 inches
7) b) 4 cm
The side of the square 4 cm
8) C)
Area of the square = side ×side
Step-by-step explanation:
<u><em> Step(i):-</em></u>
Given that the perimeter of the square is twice the perimeter of the triangle
we know that the perimeter of the square = 4a and
The perimeter of the triangle = a+b+c
Given that the perimeter of the square is twice the perimeter of the triangle
4a = 2( a+b+c)
2a = 11 +9+10
2a = 30
a =15
The side of the square = 15 inches
<u><em>Step(ii):-</em></u>
<em>7) </em>
Given that the area of the square is equal to the area of the rectangle
a² = length × breadth
a² = 8×2 =16
a= √16
a = 4cm
8)
Area of the square = side ×side
g(x) = 3x
g(x) = 3( x )
g( f(x) ) = 3( f(x) ) ... replace every x with f(x)
g( f(x) ) = 3( 2x-1 ) .... plug in f(x) = 2x-1
g( f(x) ) = 3( 2x) + 3( -1 ) ... distribute
g( f(x) ) = 6x - 3
You are correct in saying D is the answer
If there are 108 students, and the vans can hold up to 5 students, then you would need 22 vans.
If you were to divide 108 by 5, then you would get 21.3 . That 3 is the remaining children, therefore, to fit them in the trip, you would need another van, hence, 22 vans. The van that is not full would have 3 children in it.
Answer:
Minimum total cost = $20550
maximum revenue $44,100
Step-by-step explanation:
Given data:
Production cost $5.55 per unit
Fixed cost = $15000 per month
Price, p = 42-0.01 q
where. q represent number of unit produced
revenue can be wriiten as
p.q = 42q - 0.01q^2
1) from information 1000 unit has to produced therefore
total cost = 15000 + 5.55×1000 = $20550
Minimum total cost = $20550
2) Revenue = 42q - 0.01q^2

therefore for maximum revenue q is = 2100
so, maximum revenue 
= $44,100
Like other graphs, they use an x axis, and a y axis. It shows how one variable can affect another, hence the x and y (independent variable versus the dependent variable). With scatter plots you can use it to find a line of best fit that shows an average correlation relationship of the data. Scatter plots also allow you to find any outliers (those little dots that aren't in a pattern, correlation, or area with the majority of other points). It usually shows a relationship between TWO sets of data. :) :>
Hope this helps! :3 :>