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snow_lady [41]
2 years ago
7

Hehehehehehehhehehehehsdhhd

Mathematics
1 answer:
Sveta_85 [38]2 years ago
3 0

Answer:

32 miles

Step-by-step explanation:

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19. 4x-y+2z =<br> 8x+y-4<br> Find x
Varvara68 [4.7K]

Answer:

x = \frac{4-2y+2z}{4}

Step-by-step explanation:

4x-y+2z = 8x+y-4

4x-8x-y+2z = 8x - 8x +y-4

-4x -y +2z= y-4

-4x -y+y +2z = y+y-4

-4x +2z = 2y-4

-4x+2z-2z = 2y-2z-4

-4x = 2y-2z-4

x= \frac{2y-2z-4}{-4} = \frac{4-2y+2z}{4}

4 0
2 years ago
Which is smaller 1/6 or 1/5
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1/6 because you are breaking something into 6 and you got to share think of it like that so you get a smaller piece than you cutting it into 1/5...... so the answer is 1/6
5 0
3 years ago
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Raymond would like to go to rebounders trampoline center. The total cost , c, for every hour spent boucing, h, is representing b
aksik [14]

Answer:

$33

Step-by-step explanation:

C = 6(3) + 15

C = 18 + 15

C = 33

8 0
3 years ago
Can 51/54 be simplified
melisa1 [442]
We can reduce the fraction by dividing
the numerator and denominator by 3
and get our simplified answer
<span>=<span>51 ÷ 3/54 ÷ 3</span>=<span>17/<span>18
The </span></span></span>Answer:
<span>=<span>17/<span>18

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3 0
3 years ago
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A travelling salesman sells milkshake mixing machines and on average sells 8.9 machines per month. He needs to sell at least 3 m
Goshia [24]

Answer:

0.67% probability he will have to shut down after this month

Step-by-step explanation:

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}

In which

x is the number of sucesses

e = 2.71828 is the Euler number

\mu is the mean in the given time interval.

On average sells 8.9 machines per month.

So \mu = 8.9

Using the Poisson distribution, what is the probability he will have to shut down after this month

If he sells less than 3 machines.

P(X < 3) = P(X = 0) + P(X = 1) + P(X = 2)

P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}

P(X = 0) = \frac{e^{-8.9}*8.9^{0}}{(0)!} = 0.0001

P(X = 1) = \frac{e^{-8.9}*8.9^{1}}{(1)!} = 0.0012

P(X = 2) = \frac{e^{-8.9}*8.9^{2}}{(2)!} = 0.0054

P(X < 3) = P(X = 0) + P(X = 1) + P(X = 2) = 0.0001 + 0.0012 + 0.0054 = 0.0067

0.67% probability he will have to shut down after this month

5 0
2 years ago
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