Ask question

Ask question

All categories

3 years ago

12

Simplify 3(2x+4y-2z)+7(x+y-4z)

1 answer:

Nostrana [21]3 years ago

5 0

$3(2x + 4y - 2z) + 7(x + y - 4z)$
Remove parenthesis.
Distribute 3 and 7 through the parenthesis

$= 6x + 12y - 6z + 7x + 7y - 28z$
Collect the like terms by adding their coefficients.

$= 13x + 12y - 6z + 7y - 28z$
Collect the like terms by adding their coefficients.

$= 13x + 19y - 6z - 28z$
Collect like terms by calculating the sum or difference of their coefficients. Use addition and subtraction rules to calculate the expression.

$= 13x + 19y - 34z$

You might be interested in

Use the multiplier method to increase £88 by 14

Andrej [43]

Answer:

£88*1.14

Step-by-step explanation:

If you want to increase 88 by 14% that means you get 114% of 88.

This is very easy all you have to do is 88*1.14 and you get the answer.

8 0

3 years ago

mariarad [96]

B is 26
c is 15
X is 80
g is 30
x is -5
W is -4
r is 45
k is 12
f is 50

7 0

3 years ago

Solve for N<br><img src="https://tex.z-dn.net/?f=%20%5Cfrac%7B5%7D%7B12%7D%20%20%3D%20%5Cfrac%7B3%7D%7Bn%7D%20" id="TexFormula1"

Dmitrij [34]

Answer:

n= 1.25

Step-by-step explanation:

multiply both sides by 3 giving you 1.25

8 0

3 years ago

A manager at a local company asked his employees how many times they had given blood in the last year. The results of the survey

Lubov Fominskaja [6]

Answer:

$Var(X) = E(X^2) -[E(X)]^2 = 4.97 -(1.61)^2 =2.3779$

And the deviation would be:

$Sd(X) =\sqrt{2.3779}= 1.542 \approx 1.54$

Step-by-step explanation:

For this case we have the following distribution given:

X 0 1 2 3 4 5 6

P(X) 0.3 0.25 0.2 0.12 0.07 0.04 0.02

For this case we need to find first the expected value given by:

$E(X) = \sum_{i=1}^n X_i P(X_I)$

And replacing we got:

$E(X)= 0*0.3 +1*0.25 +2*0.2 +3*0.12 +4*0.07+ 5*0.04 +6*0.02=1.61$

Now we can find the second moment given by:

$E(X^2) =\sum_{i=1}^n X^2_i P(X_i)$

And replacing we got:

$E(X^2)= 0^2*0.3 +1^2*0.25 +2^2*0.2 +3^2*0.12 +4^2*0.07+ 5^2*0.04 +6^2*0.02=4.97$

And the variance would be given by:

$Var(X) = E(X^2) -[E(X)]^2 = 4.97 -(1.61)^2 =2.3779$

And the deviation would be:

$Sd(X) =\sqrt{2.3779}= 1.542 \approx 1.54$

8 0

3 years ago

Help needed please!!!!!!!!

Sonja [21]

Funimobgdhdhehhdhshhdhjsbfhshhwhdhs

5 0

3 years ago