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3 years ago

Solve for x -56 =8(x - 8) x=

Mathematics

2 answers:

NeX [460]3 years ago

7 0

Answer:

-56=8(x-8)

-56=8x-64 +64

8=8x :8

1=x

Step-by-step explanation:

prove me wrong

Oduvanchick [21]3 years ago

6 0

Answer:

x=1

Step-by-step explanation:

You would do distributive property and multiply 8 by the x and -8

-56=8x-64

The add 64 on both sides

8=8x

divide 8

x=1

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The answer to this problem

Ksivusya [100]

Answer:

B. $\frac{7\sqrt{2}}{34}$

Step-by-step explanation:

Cos θ = Adjacent/hypotenuse

Adjacent = 7

Hypotenuse = √(23² + 7²) = √578 = 17√2

Thus:

Cos θ = $\frac{7}{17\sqrt{2}}$

Rationalize

Cos θ = $\frac{7*\sqrt{2}}{17\sqrt{2}*\sqrt{2}}$

Cos θ = $\frac{7\sqrt{2}}{17*2}$

Cos θ = $\frac{7\sqrt{2}}{34}$

8 0

3 years ago

Lucia is helping her grandmother make a quilt. They have 4 yards of fabric, which is equal to 144 inches. They need an additiona

lana66690 [7]

Answer:

They need an additional 54 inches of fabric

Step-by-step explanation:

This can be solved by using the unitary method.

Unitary method is that we find the measure of 1 unit and then mulitply it with the required number to get the actual measurement.

4 yards of fabric is equal to 144 inches

1 yard of fabric is equal to 144 inches/4= 36 inches

They need an additional 1 1/2 yards of fabric

So multiplying 1 1/2*36= 3/2*36= 3*36/2= 108/2= 54 inches

They need an additional 54 inches of fabric

5 0

3 years ago

in the past month Rita rented six video games and one DVD the rental price for each video game was $2.50 the rental price for th

laila [671]

Answer:

So in the past month Rita earned $18.50

Step-by-step explanation:

2.50 x 6 = 15

3.50 x 1 = 3.50

8 0

3 years ago

A company manufactures tires at a cost of $40 each. The following are probabilities of defective tires in a given production run

asambeis [7]

Answer:

The expected cost of the company for a 3000 tires batch is $120255

Step-by-step explanation:

Recall that given a probability of defective tires p, we can model the number of defective tires as a binomial random variable. For 3000 tires, if we have a probability p of having a defective tire, the expected number of defective tires is 3000p.

Let X be the number of defective tires. We can use the total expectation theorem, as follows: if there are $A_1,\dots, A_n$ events that partition the whole sample space, and we have a random variable X over the sample space, then

$E(X) = p(A_1)E(X|A_1) + \dots + p(A_n)E(X|A_n)$ .

So, in this case, we have the following

$E(X) = P(p=0\%)E(X|p=0\%)+P(p=1\%)E(X|p=1\%)+P(p=2\%)E(X|p=2\%)+P(p=3\%)E(X|p=3\%) = 0.1\cdot 3000\cdot 0 + 0.3\cdot 3000\cdot 0.01+ 0.4\cdot 3000\cdot 0.02+ 0.2\cdot 3000\cdot 0.03 = 51$ .