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Kitty [74]
3 years ago
8

F(x) = 4x2 + 5x - 3 g(x) = 4x2 – 3x2 + 5 Find (f +g)(x).

Mathematics
1 answer:
kondaur [170]3 years ago
6 0

Answer:

5x + 12

Step-by-step explanation:

simplify f(x) and g(x)

g(x) = 4*2 -3*2 +5

g(x) = 8 -6 + 5

g(x) = 7

and

f(x) = 4*2 + 5x -3

f(x) = 8 + 5x - 3

f(x) = 5x + 5

So (f + g)(x) = f(x) + g(x)

(f + g)(x) = (5x + 5) + (7)

(f + g)(x) = 5x + 12

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A toy motorcycle costs $24. A toy airplane costs 4 times as much as the toy motorcycle. How much more does the toy airplane cost
tekilochka [14]

Answer:

The toy airplane costs $72 more than the toy motorcycle. Hope this helps!

Step-by-step explanation:

$24 x 4 = $96

$96 - $24 = $72.

5 0
3 years ago
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Write an expression and<br>then solve for x.<br>149​
MatroZZZ [7]
X+52=149 x=97 hope this helped!
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A. 70-74<br> B. 60-64<br> C.75-79<br> D.65-69<br> E.55-59<br><br> please answer will give brainliest
Leona [35]

Answer:

C

Step-by-step explanation:

7 0
3 years ago
Solve the system of the linear equation using any method:<br> 2x+5y=4<br> 4x+7y=11
mr_godi [17]
Multiply the first equation by 2:
4x+10y=8
Subtract the second equation from this so the 4x cancels:
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y = -1
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3 0
3 years ago
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A tattoo enthusiast website claims that :
KATRIN_1 [288]

Answer:

The probability that a person is a Millennial given that they have tattoos is 0.5069 (50.69%) or about 0.51 (51%).

Step-by-step explanation:

We have here a case where we need to use Bayes' Theorem and all conditional probabilities related. Roughly speaking, a conditional probability is a kind of probability where an event determines the occurrence of another event. Mathematically:

\\ P(A|B) = \frac{P(A \cap B)}{P(B)}

In the case of the Bayes' Theorem, we have also a conditional probability where one event is the sum of different probabilities.

We have a series of different probabilities that we have to distinguish one from the others:

The probability that a person has a tattoo assuming that is a Millennial is:

\\ P(T|M) = 0.47

The probability that a person has a tattoo assuming that is of Generation X is:

\\ P(T|X) = 0.36

The probability that a person has a tattoo assuming that is of Boomers is:

\\ P(T|B) = 0.13

The probability of being of Millennials is:

\\ P(M) = 0.22

The probability of being of Generation X is:

\\ P(X) = 0.20

The probability of being of Boomers is:

\\ P(B) = 0.22

Therefore, the probability of the event of having a tattoo P(T) is:

\\ P(T) = P(T|M)*P(M) + P(T|X)*P(X) + P(T|B)*P(B)

\\ P(T) = 0.47*0.22 + 0.36*0.20 + 0.13*0.22

\\ P(T) = 0.204

For non-independent events that happen at the same time, we can say that the probability of occurring simultaneously is:

\\ P(M \cap T) = P(M|T)*P(T)

Or

\\ P(T \cap M) = P(T|M)*P(M)

But

\\ P(M \cap T) = P(T \cap M)

Then

\\ P(M|T)*P(T) = P(T|M)*P(M)

We are asked for the probability that a person is a Millennial given or assuming that they have tattoos or P(M | T). Solving the previous formula for the latter:

\\ P(M|T)*P(T) = P(T|M)*P(M)

\\ P(M|T) = \frac{P(T|M)*P(M)}{P(T)}

We have already know that

\\ P(T|M) = 0.47\;P(M) = 0.22\;and\;P(T) = 0.204.

Therefore

\\ P(M|T) = \frac{0.47*0.22}{0.204}

\\ P(M|T) = 0.50686 \approx 0.51

Thus, the probability that a person is a Millennial given that they have tattoos is 0.5069 (50.69%) or about 0.51 (51%).

5 0
4 years ago
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