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suter [353]
3 years ago
12

Simplify-7(3x) + 2(3x - 2)I'll give brainliest ​

Mathematics
2 answers:
Firlakuza [10]3 years ago
7 0
-15x-4
Hsjskdhdbdojdbdbd
Sveta_85 [38]3 years ago
5 0

Answer:

-15x-4

Step-by-step explanation:

-21x + 6x-4

-15x-4

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Will mark brainliest, answer quick pls !!
Natasha_Volkova [10]

Answer:

X^2 + 10 + 24

Step-by-step explanation:

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Which is the slope of the line that passes through the points (2,10) and (5,8)?
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The slope is -2/3. Hope this helps!
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The base of this regular right pyramid is a square. What is its surface area?
zubka84 [21]

Answer:

○ A) 21 ft.²

Step-by-step explanation:

{a}^{2} + 2a  \sqrt{ \frac{ {a}^{2}}{4} + {h}^{2} } = S. A. \\  \\ {3}^{2} + 2(3) \sqrt{ \frac{ {3}^{2} }{4} +  {2}^{2}} = 24 \\  \\ 24 ≈ 21

I am joyous to assist you anytime.

5 0
3 years ago
When exchanging US Dollars (USD) for Philippine Peso (PHP) the number of Philippine Pesos received is directly proportional to t
RUDIKE [14]

Answer:

D

Step-by-step explanation:

3 0
3 years ago
g If the economy improves, a certain stock stock will have a return of 23.4 percent. If the economy declines, the stock will hav
dusya [7]

Answer:

E(X) = 23.4* 0.67 -11.9*0.33= 11.759 \%

Now we can find the second central moment with this formula:

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

And replacing we got:

E(X^2) = (23.4)^2* 0.67 +(-11.9)^2*0.33= 413.5965

And the variance is given by:

Var(X) = E(X^2) - [E(X)]^2

And replacing we got:

Var(X) = 413.5965 -(11.759)^2 =275.5105

And finally the deviation would be:

Sd(X) = \sqrt{275.5105}= 16.599 \%

Step-by-step explanation:

We can define the random variable of interest X as the return from a stock and we know the following conditions:

X_1 = 23.4 , P(X_1) =0.67 represent the result if the economy improves

X_2 = -11.9 , P(X_1) =0.33 represent the result if we have a recession

We want to find the standard deviation for the returns on the stock. We need to begin finding the mean with this formula:

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

And replacing the data given we got:

E(X) = 23.4* 0.67 -11.9*0.33= 11.759 \%

Now we can find the second central moment with this formula:

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

And replacing we got:

E(X^2) = (23.4)^2* 0.67 +(-11.9)^2*0.33= 413.5965

And the variance is given by:

Var(X) = E(X^2) - [E(X)]^2

And replacing we got:

Var(X) = 413.5965 -(11.759)^2 =275.5105

And finally the deviation would be:

Sd(X) = \sqrt{275.5105}= 16.599 \%

7 0
2 years ago
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