Answer:
<em>4.32%</em>
Step-by-step explanation:
Step 1:
To solve this, we must know how to find sales tax first. Let's use this equation:
t = p × r
Let t stand for the total amount of sales tax
Let c stand for the purchase
Let r stand for the sales tax rate.
Step 2:
Now, let us plug in what is given. We know that the purchase made cost $2,500:
t = $2,500 x r
Annddd, we also know that the sales tax is $108:
$108 = $2,500 x r
Therefore, our equation is:
$108 = $2,500 x r
Step 3:
We can simplify this to:
$108 = $2,500r
Step 4:
All we need to do is divide each side by 2500 because the goal is get r all by itself
Step 5:
This gives us:
r = 0.0432
Step 6:
We're not done! Since we are dealing with a percentage, we would multiply .0432 by 100% and that gives us our final answer of
4.32% is our sales tax
11 g's ..That's Why Most People Say "You don't need it"
Answer:
Step-by-step explanation:
In a geometric series, the successive terms differ by a common ratio which is determined by dividing a term by the preceding term.
The formula for determining the nth term of a geometric progression is expressed as
Tn = ar^(n - 1)
Where
a represents the first term of the sequence.
r represents the common ratio between successive terms in the sequence.
n represents the number of terms in the sequence.
From the seies shown,
a = 28
r = 98/28 = 343/98 = 3.5
The formula representing the nth term of the given sequence would be expressed as
Tn = 28 × (3.5)^(n - 1)
Answer:
See explanation
Step-by-step explanation:
Consider triangles CAX and BAX. In these triangles,
- given
- given
- reflexive property
By SAS postulate, 
Congruent triangles have conruent corresponding parts. So,
Consider triangles CXY and BXY. In these triangles,
- - proven
- given
- reflexive property
By SAS postulate, 
Congruent triangles have conruent corresponding parts. So,
Answer with explanation:
For, a Matrix A , having eigenvector 'v' has eigenvalue =2
The order of matrix is not given.
It has one eigenvalue it means it is of order , 1×1.
→A=[a]
Determinant [a-k I]=0, where k is eigenvalue of the given matrix.
It is given that,
k=2
For, k=2, the matrix [a-2 I] will become singular,that is
→ Determinant |a-2 I|=0
→I=[1]
→a=2
Let , v be the corresponding eigenvector of the given eigenvalue.
→[a-I] v=0
→[2-1] v=[0]
→[v]=[0]
→v=0
Now, corresponding eigenvector(v), when eigenvalue is 2 =0
We have to find solution of the system
→Ax=v
→[2] x=0
→[2 x] =[0]
→x=0, is one solution of the system.
