All categories

3 years ago

Which values are solutions to the inequality below? Check all that apply.

Mathematics

2 answers:

melisa1 [442]3 years ago

8 0

Answer: c. 100

Step-by-step explanation: √-81 and √-3 are not possibly unless complex numbers applied

√100 = 10 > 9 valid answer

√27 = 5.196 < 9 invalid answer

√3 = 1.732 < 9 invalid answer

√81 = 9 ≡ 9 invalid answer

Only c is the answer.

Hope it helped!

inn [45]3 years ago

7 0

Answer:

Step-by-step explanation:

That is the only answer choice that makes the most sense.

±10 = √100; in this case, they want the non-negative value, so it is 10.

You might be interested in

A dog runs 100 meters in 30 seconds. How fast is he running

matrenka [14]

Answer:

3.33 m/s

Step-by-step explanation:

Distance divided by time = speed

100/30 = 3.33 m/s

6 0

3 years ago

A mother explains to her child that the price on the sign is not the total price for an oil painting, because the price does not

dlinn [17]

Answer:

Or u cld simply just say 945 - 875 = 70

3 0

3 years ago

Help mee is guyssssss

MissTica

Answer: 7
7 is the middle number when the number are out from least to greatest. Hope that helps!!

6 0

3 years ago

Read 2 more answers

The following proof shows an equivalent system of equations created from another system of equations. Fill in the missing reason

lianna [129]

Multiplication property of equality

8 0

3 years ago

A is an m×n matrix.Check the true statements below:A. The kernel of a linear transformation is a vector space.B. If the equation

Bess [88]

Answer:

Results are (1) True. (2) False. (3) False. (4) True. (5) True. (6) True.

Step-by-step explanation:

Given A is an $m\times n$ matrix. Let $T :U\to V$ be the corresponding linear transformationover the field F and $\theta$ be identity vector in V. Now if $x\in Ker( T)\implies T(x)=\theta$ .

(1) The kernel of a linear transformation is a vector space : True.

Let $x,y\in Ker( T)$ , then,

$T(x+y)=T(x)+T(y)=\theta+\theta=\theta\impies x+y\in Ker( T)$

hence the kernel is closed under addition.

Let $\lambda\in F, x\in Ker( T)$ , then

$T(\lambda x)=\lambda T(x)=\lambda\times \theta=\theta$

$\lambda x\in Ker(T)$ and thus Ket(T) is closed under multiplication

Finally, fore all vectors $u\in U$ ,

$T(\theta)=T(\theta+(-\theta))=T(\theta)+T(-\theta)=T(\theta)-T(\theta)=\theta$

$\implies \theta\in Ker(T)$

Thus Ker(T) is a subspace.

(2) If the equation Ax=b is consistent, then Col(A) is $\mathbb R^m$ : False

if the equation Ax=b is consistent, then Col(A) must be consistent for all b.

(3) The null space of an mxn matrix is in $\mathbb R^m$

: False

The null space that is dimension of solution space of an m x n matrix is always in $\mathbb R^n$ .

(4) The column space of A is the range of the mapping $x\to Ax$

: True.

(5) Col(A) is the set of all vectors that can be written as Ax for some x. : True.

Here Ax will give a linear combination of column of A as a weights of x.

(6) The null space of A is the solution set of the equation Ax=0.

: True

5 0

3 years ago