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Tom [10]
3 years ago
11

How to write (1.5 x 10^-4) x (2.5 x 10^3) in scientific notation

Mathematics
1 answer:
maria [59]3 years ago
7 0
<h2>Answer:</h2>

The answer to your question is: (4 x 10^-1)

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When Adam verified his answer, it didn't work What
Elenna [48]

Answer:

(D) he should have found that there are no solutions because the statement is false

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3 years ago
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a store owner wishes to make a new tea with a unique flavor by mixing black tea and oolong tea. if he has 35 pounds of oolong te
Verizon [17]

35 pounds of black tea is needed to be mixed to get the final mixture for 2.10 per pound

<h3>What is an equation?</h3>

An equation is an expression that shows the relationship between two or more numbers and variables.

Let x represent the amount of black tea worth 1.80 per pound to be mixed to get the final mixture for 2.10 per pound, hence:

2.4(35) + 1.8(x) = 2.1(x + 35)

x = 35 pounds

35 pounds of black tea is needed to be mixed to get the final mixture for 2.10 per pound

Find out more on equation at: brainly.com/question/2972832

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3 0
2 years ago
thank you for hurrying here is the very last one Explain how you would find the perimeter of this triangle.
Lena [83]

Step-by-step explanation:

Use the method of TOA CAH SOH.

tan(51.3) =  \frac{opp}{adj}  \\  \tan(51.3)  =  \frac{u}{4}  \\ u = 4 \tan(51.3)

cos(51.3)  =  \frac{adj}{hypo}  \\  \cos(51.3)  =  \frac{4}{v}  \\ v \cos(51.3)  = 4 \\ v =  \frac{4}{ \cos(51.3) }

Perimeter of triangle = Sum of all sides =

u \:  +  \: v + 4

5 0
3 years ago
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I need help with geometry
VLD [36.1K]

Answer:

180-71

=109

the last one

5 0
3 years ago
An n × n matrix B has characteristic polynomial p(λ) = −λ(λ − 3) 3 (λ − 2) 2 (λ + 1). Which of the following statements is false
asambeis [7]

Answer:

Only d) is false.

Step-by-step explanation:

Let p=p(\lambda)=\lambda(\lambda-3)^3 (\lambda-2)^2 (\lambda+1) be the characteristic polynomial of B.

a) We use the rank-nullity theorem. First, note that 0 is an eigenvalue of algebraic multiplicity 1. The null space of B is equal to the eigenspace generated by 0. The dimension of this space is the geometric multiplicity of 0, which can't exceed the algebraic multiplicity. Then Nul(B)≤1. It can't happen that Nul(B)=0, because eigenspaces have positive dimension, therfore Nul(B)=1 and by the rank-nullity theorem, rank(B)=7-nul(B)=6 (B has size 7, see part e)

b) Remember that p(\lambda)=\det(B-\lambda I). 0 is a root of p, so we have that p(0)=\det(B-0 I)=\det B=0.

c) The matrix T must be a nxn matrix so that the product BTB is well defined. Therefore det(T) is defined and by part c) we have that det(BTB)=det(B)det(T)det(B)=0.

d) det(B)=0 by part c) so B is not invertible.

e) The degree of the characteristic polynomial p is equal to the size of the matrix B. Summing the multiplicities of each root, p has degree 7, therefore the size of B is n=7.      

8 0
3 years ago
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