All categories

3 years ago

4+3(2r+2s)+3r Simplify this expression

1 answer:

3 0

Hello!

First you can distribute the 3

4 + 6r + 6s + 3r

Then you combine like terms

4 + 9r + 6s

The answer is 9r + 6s + 4

Hope this helps!

You might be interested in

Round 1,129.872 to the nearest hundred

sp2606 [1]

1,129.872 to the nearest hundred is 1,100

3 0

3 years ago

Read 2 more answers

Identify the x- and y- intercept of the function f(x)=2x^2+5x-3

ycow [4]

0 = 2x^2 + 5x -3
0 = (2x-1)*(x+3)
2x-1=0 and x+3=0
X= 1/2 and x = -3

Y= 2(0)^2 + 5(0) - 3
Y = -3

6 0

4 years ago

Simplify to using laws of exponents<br><br> (-2)^2(-2)^5

MAVERICK [17]

Answer:

-128

Step-by-step explanation:

(-2)^2 * (-2)^5 <---

First, add the exponents

(-2)^7<----

If you evaluate this you will get

-128

7 0

3 years ago

Read 2 more answers

Which answer choice is a solution to the inequality 1.5x + 3.75≥5.5

djyliett [7]

Answer:

$x \geq \frac{7}{6}$

The value of x is greater than or equal to 7/6

Step-by-step explanation:

$1.5x + 3.75\geq 5.5$

Solve the inequality for x

Subtract 3.75 from both sides

$1.5x + 3.75\geq 5.5$

$1.5x \geq 1.75$

Now divide both sides by 1.5

$x \geq \frac{1.75}{1.5}$

Simplify the fraction by dividing top and bottom by 0.25

$x \geq \frac{7}{6}$

The value of x is greater than or equal to 7/6

5 0

4 years ago

Read 2 more answers

1 Find the value of C to that the function probability density function defined as follow, also calculate the man and variance /

Viefleur [7K]

Answer:

$c = \frac{1}{12}$

The mean of the distribution is 0.25.

The variance of the distribution is of 0.6875.

Step-by-step explanation:

Probability density function:

For it to be a probability function, the sum of the probabilities must be 1. The probabilities are 3c, 3c and 6c, so:

$3c + 3c + 6c = 1$

$12c = 1$

$c = \frac{1}{12}$

So the probability distribution is:

$P(X = -1) = 3c = 3\frac{1}{12} = \frac{1}{4} = 0.25$

$P(X = 0) = 3c = 3\frac{1}{12} = \frac{1}{4} = 0.25$

$P(X = 1) = 6c = 6\frac{1}{12} = \frac{1}{2} = 0.5$

Mean:

Sum of each outcome multiplied by its probability. So

$E(X) = -1(0.25) + 0(0.25) + 1(0.5) = -0.25 + 0.5 = 0.25$

The mean of the distribution is 0.25.

Variance:

Sum of the difference squared between each value and the mean, multiplied by its probability. So

$V^2(X) = 0.25(-1-0.25)^2 + 0.25(0 - 0.25)^2 + 0.5(1 - 0.25)^2 = 0.6875$

The variance of the distribution is of 0.6875.

4 0

3 years ago