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andreyandreev [35.5K]
1 year ago
11

In the diagram, quadrilateral EFGH is similar to quadrilateral PQRS. Using the graph, determine the coordinates of H. DRAG &

DROP THE ANSWER​
Mathematics
1 answer:
azamat1 year ago
3 0

Answer:

(12,15)

Step-by-step explanation:

This is assuming you haven't answered already... Mr Cooper helped me find it

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Help me find this please ASAP.........................
Likurg_2 [28]
Third one down



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5 0
3 years ago
Note: Enter your answer and show all the steps that you use to solve this problem in the space provided.
lyudmila [28]

Answer:

-\frac{21}{2}

Step-by-step explanation:

We can solve this system just by summing each side of the equation:

So, both left sides will be sum, and both right sides too.

The resulting expression will be:

(3-y)+(3-y) = 6+21

Ordering and solving both sides:

6-2y=27\\-2y=27-6\\y=\frac{21}{-2}

Hence, the value to the system is -\frac{21}{2}

It's important to combine both equation, because the exercise is asking for the solution of the system.

8 0
3 years ago
Which of the following is the solution to lx-13 k 18 ?
natali 33 [55]
I think d is the answer
7 0
3 years ago
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
34 POINTS see attached
Anton [14]

Answer:

Step-by-step explanation:

-2x + 3 = 0

-2x = -3

x = 3/2

-x^2 + 2x + 3 = (-3/2)^2 + 2 × 3/2 + 3

= 9/4 + 3 + 3

= 9/4 + 6

= 33/4

Hope this helps

plz mark as brainliest!!!!!!

4 0
3 years ago
Read 2 more answers
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