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3 years ago

Please help Combine the like terms to create an equivalent expression. 3y+x-y

Mathematics

2 answers:

AnnZ [28]3 years ago

8 0

I think the answer would be

2y+x

ziro4ka [17]3 years ago

8 0

Answer: 2y+x

Step-by-step explanation:

3y-y=2y and the there's x

so 2y+x

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PLEASE HELP IM STRUGGLING!!!

Mnenie [13.5K]

Answer:

10. 0.99
11. -60
12. 5.5

Step-by-step explanation:

Use the slope formula:

m = (y2 - y1)/(x2 - x1)

10.

m = (6.24 - 3.27)/(5 - 2) = 2.97/3 = 0.99

11.

m = (240 - 360)/(3 - 1) = -120/2 = -60

12.

m = (8.84 - 6.09)/(7 - 2) = 2.75/5 = 5.5

6 0

3 years ago

What is the measure of the indicated arc in radians?

iogann1982 [59]

Answer:

D is the right one

Step-by-step explanation:

π radian = 180 degree

-> 135 degree = $\frac{135}{180}$ π radian

-> 135 degree = 0.75 * π radians = 3π/4 radian

5 0

3 years ago

The volume of a cube is V= S^3 where V is the volume and s is the length of one side what is the volume of a cube if the length

sammy [17]

The volume of cube is 1000 cubic feet

Solution:

Given that,

The volume of cube is given by formula:

$V = s^3$

Where,

V is the volume of cube

"s" is the length of one side

What is the volume of a cube if the length of a side s is 10 feet

Given, s = 10 feet

Substitute s = 10 in given formula,

$V = 10^3\\\\V = 10 \times 10 \times 10\\\\V = 1000$

Thus volume of cube is 1000 cubic feet

7 0

3 years ago

Historical data for a local manufacturing company show that the average number of defects per product produced is 2. In addition

charle [14.2K]

Answer:

The probability that there will be a total of 7 defects on four units is 0.14.

Step-by-step explanation:

A Poisson distribution describes the probability distribution of number of success in a specified time interval.

The probability distribution function for a Poisson distribution is:

$P(X = x)=\frac{e^{-\lambda}\lambda^{x}}{x!}, x=0,1,2,3,...$

Let X = number of defects in a unit produced.

It is provided that there are, on average, 2 defects per unit produced.

Then in 4 units the number of defects is, $(2\times4)=8$ .

Compute the probability of exactly 7 defects in 4 units as follows:

$P(X = x)=\frac{e^{-\lambda}\lambda^{x}}{x!}\\P(X=7)=\frac{e^{-8}8^{7}}{7!}\\=\frac{0.0003355\times2097152}{5040}\\ =0.1396\\\approx0.14$

Thus, the probability of exactly 7 defects in 4 units is 0.14.

8 0

3 years ago

on tuesday a local hamburger shop sold a combined total of 348 hameburgers and cheeseburger. the number of cheeseburger sold was

ANTONII [103]

Answer:

There were 261 Cheeseburgers and 87 Hamburgers sold on Tuesday

Step-by-step explanation:

Lets write some equations where H=Hamburgers and C=Cheeseburgers:

1) H+C=348

2) C=3H

1) Substitute 3H as C in the first equation:

3H+H=348

2) Combine alike terms:

4H=348

3) Divide both sides by 4:

H=87

4) Now, substitute 87 as H in the first equation:

87+C=348

5) Subtract 87 from both sides:

C=261

6 0

3 years ago