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Katen [24]
4 years ago
7

Solve: -4 (x + 6) + 2 ( x -2) Show your work

Mathematics
2 answers:
Lorico [155]4 years ago
7 0

Answer:

Please see explanation.

Step-by-step explanation:

-4(x+6) + 2(x-2)   First, distribute the -4 to x+6

-4x - 24 + 2(x-2)   Now distribute the 2 into x-2

-4x - 24 + 2x - 4   Combine like terms

-4x + 2x - 24 - 4

-2x - 28                  This might be your answer but if you are looking for what x is equal to then keep following along.

If you are solving for x then most likely the equation says that it is equal to zero

-2x - 28 = 0   Add 28 to both sides

-2x = 28        divide both sides by -2

x = -14

anastassius [24]4 years ago
6 0

Answer:

-2x - 28

Step-by-step explanation:

-4(x+6) +2 (x-2)    Distribute the -4 to (x+6) and the 2 to (x-2):

-4x - 24 + 2x - 4  Combine like terms  -4 + 2x and -24-4:

-2x - 28

Hope this helped :)

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Henrietta buys twelve pounds of bananas and ten pounds of apples for $ 12 . Gustavo buys eight pounds of bananas and five pounds
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Answer:

The price per pound of bananas is $0.5 and the price per pound of apples is $0.6

Step-by-step explanation:

Let

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y -----> the price per pound of apples

we know that

12x+10y=12 -----> equation A

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Remember that the solution is the intersection point both graphs

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see the attached figure

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The price per pound of bananas is $0.5

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(a)0.16

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(c)[s_1$ s_2]=[0.75,$  0.25]

Step-by-step explanation:

The matrix below shows the transition probabilities of the state of the system.

\left(\begin{array}{c|cc}&$Running&$Down\\---&---&---\\$Running&0.90&0.10\\$Down&0.30&0.70\end{array}\right)

(a)To determine the probability of the system being down or running after any k hours, we determine the kth state matrix P^k.

(a)

P^1=\left(\begin{array}{c|cc}&$Running&$Down\\---&---&---\\$Running&0.90&0.10\\$Down&0.30&0.70\end{array}\right)

P^2=\begin{pmatrix}0.84&0.16\\ 0.48&0.52\end{pmatrix}

If the system is initially running, the probability of the system being down in the next hour of operation is the (a_{12})th$ entry of the P^2$ matrix.

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(b)After two(periods) hours, the transition matrix is:

P^3=\begin{pmatrix}0.804&0.196\\ 0.588&0.412\end{pmatrix}

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(c)The steady-state probability of a Markov Chain is a matrix S such that SP=S.

Since we have two states, S=[s_1$  s_2]

[s_1$  s_2]\left(\begin{array}{ccc}0.90&0.10\\0.30&0.70\end{array}\right)=[s_1$  s_2]

Using a calculator to raise matrix P to large numbers, we find that the value of P^k approaches [0.75 0.25]:

Furthermore,

[0.75$  0.25]\left(\begin{array}{ccc}0.90&0.10\\0.30&0.70\end{array}\right)=[0.75$  0.25]

The steady-state probabilities of the system being in the running state and in the down-state is therefore:

[s_1$ s_2]=[0.75$  0.25]

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