The 1st term is 60.
Add 50 to this to get the 2nd term, 60 + 50 = 110.
Add 50 to that to get the 3rd term, 110 + 50 = 160.
Add 50 to that to get the 4th term, 160 + 50 = 210.
And so on...
Notice that in the 2nd term, we added 1 copy of 50 to the 1st term.
In the 3rd, we ultimately added 2 copies of 50 to the 1st term.
In the 4th, we added 3 50s.
And so on... If the pattern continues, then the <em>n</em>-th term can be obtained by adding (<em>n</em> - 1) copies of 50 to the first term.
So, the 100th term is
60 + (100 - 1) * 50 = 5010
Answer:
185
Step-by-step explanation:
45 +70(2) = 185
Answer:
162
Step-by-step explanation:
Note that you can split the given shape into a triangle and a rectangle.
Area of rectangle = base x height
base = 12
height = 9
Plug in the corresponding numbers into the corresponding variables:
Area of rectangle = 12 x 9
= 108
Area of triangle = (base x height)/2
base = 12
height = 9
Area of triangle = (12 x 9)/2
= (108)/2
= 54
Next, add the two areas together to get the full area:
108 + 54 = 162
162 is your answer.
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Answer:
a) $2.44 per cupcake
b) $2.33 per cupcake
c) $2.58 per cupcake
Step-by-step explanation:
We are given the following in the question:
We have to calculate the unit price of the cupcakes.
Unit price =

12 cupcakes for $29
Unit price =

24 cupcakes for $56
Unit price =

50 cupcakes for $129
Unit price =

Answer:
Linearly Dependent for not all scalars are null.
Step-by-step explanation:
Hi there!
1)When we have vectors like
we call them linearly dependent if we have scalars
as scalar coefficients of those vectors, and not all are null and their sum is equal to zero.
When all scalar coefficients are equal to zero, we can call them linearly independent
2) Now let's examine the Matrix given:

So each column of this Matrix is a vector. So we can write them as:
Or
Now let's rewrite it as a system of equations:

2.1) Since we want to try whether they are linearly independent, or dependent we'll rewrite as a Linear system so that we can find their scalar coefficients, whether all or not all are null.
Using the Gaussian Elimination Method, augmenting the matrix, then proceeding the calculations, we can see that not all scalars are equal to zero. Then it is Linearly Dependent.


