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STatiana [176]
3 years ago
8

Please take a look at the picture. Please write your answer with an explanation.

Mathematics
2 answers:
mars1129 [50]3 years ago
8 0

Step-by-step explanation:

x = -3, y =4

so, first we combine the fitting terms, and then we use these values in the expression in place of the variables.

-12x + 5y + 18x - 3y + 6 = 6x + 2y + 6

6×-3 + 2×4 + 6 = -18 + 8 + 6 = -4

Lilit [14]3 years ago
5 0

Answer:

It means that for every x value is 3, then the outcome (y value) is 4.

Step-by-step explanation:

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katovenus [111]

Answer:

1 algebraic expression

Step-by-step explanation:

2. constants

8 0
2 years ago
Ben is 4 times as old as Ishaan and is 6 years older than ishaan. How old is ben?
ale4655 [162]

Answer:

8 years old

Step-by-step explanation:

7 0
3 years ago
Read 2 more answers
What is one fith times 15
Rus_ich [418]
One fifth is the same as \frac{1}{5} and 15 is the same as \frac{15}{1}

So just times across, \frac{1}{5} × \frac{15}{1}
Resulting in(1 x 15= 15, and 5 x 1= 5), \frac{15}{5}

If you need/want to reduce it, divide both numbers by 5. Leaving you with the simplified answer of \frac{3}{1} or 3. Either answer works. :)

If you have any questions, just comment them down below :)
4 0
3 years ago
Read 2 more answers
According to the last census (2010), the mean number of people per household in the United States is LaTeX: \mu = 2.58 Assume a
Veseljchak [2.6K]

Answer:

P(2.50 < Xbar < 2.66) = 0.046

Step-by-step explanation:

We are given that Population Mean, \mu = 2.58 and Standard deviation, \sigma = 0.75

Also, a random sample (n) of 110 households is taken.

Let Xbar = sample mean household size

The z score probability distribution for sample mean is give by;

             Z = \frac{Xbar-\mu}{\frac{\sigma}{\sqrt{n} } } ~ N(0,1)

So, probability that the sample mean household size is between 2.50 and 2.66 people = P(2.50 < Xbar < 2.66)

P(2.50 < Xbar < 2.66) = P(Xbar < 2.66) - P(Xbar \leq 2.50)

P(Xbar < 2.66) = P( \frac{Xbar-\mu}{\frac{\sigma}{\sqrt{n} } } < \frac{2.66-2.78}{\frac{0.75}{\sqrt{110} } } ) = P(Z < -1.68) = 1 - P(Z  1.68)

                                                              = 1 - 0.95352 = 0.04648

P(Xbar \leq 2.50) = P( \frac{Xbar-\mu}{\frac{\sigma}{\sqrt{n} } } \leq \frac{2.50-2.78}{\frac{0.75}{\sqrt{110} } }  ) = P(Z \leq  -3.92) = 1 - P(Z < 3.92)

                                                              = 1 - 0.99996 = 0.00004  

Therefore, P(2.50 < Xbar < 2.66) = 0.04648 - 0.00004 = 0.046

7 0
3 years ago
1
irina [24]

Answer:

0.530 (the 0 is not required)

Step-by-step explanation:

this is because another combination would be .35 which is less than .53 so this what i think the answer is.

--hope this helped :))

7 0
3 years ago
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