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kari74 [83]
3 years ago
10

What is the solution set for this linear-quadratic system of equations?

Mathematics
1 answer:
Ilya [14]3 years ago
7 0
(4,0) (o,3) 1727/!/818281
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Brainliest, but explain your answer for once? Thanks in advance, appreciate ya!
GenaCL600 [577]

Answer:

c. 1/6

Step-by-step explanation:

I hope it helps you...

4 0
2 years ago
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Amy and her friends have $12.50 to spend on lunch. They agree to share a
Anastaziya [24]
Good luck, I am not sure how to solve the next part of the question

8 0
2 years ago
david ran on a straight track. every time he ran 480m, he took a break. After 2 breaks, he still had to run 120 m to complete th
kipiarov [429]

Answer:

The distance of the playground is 540m

Step-by-step explanation:

Here, we are interested in calculating the length of the playground given the information in the question.

Where to attack the question from is the segment that states that he took a break after 480m and also had 2 breaks. Thus, the distance traveled would be 480 * 2 = 960 m

Now, to find the length of the track, we add the distance covered plus the distance uncovered. Mathematically that would be 960m + 120m = 1,080m

In the last part of the question, we are told that the track is twice as long as the playground. This means that the length of the playground or the distance of the playground is 1080/2 = 540 m

4 0
3 years ago
A spinner has 20 equally sized sections, 8 of which are yellow and 12 of which are blue. The spinner is spun and, at the same ti
Lyrx [107]

Answer:

3/10.

Step-by-step explanation:

Probability (A blue on the spinner) =  12/20 = 3/5.

Probability( tails) = 1/2.

The probability of a blue and tails = 3/5 * 1/2

=  3/10.

3 0
3 years ago
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Let P = 0.50.30.50.7 be the transition matrix for a Markov chain with two states. Let x0 = 0.50.5 be the initial state vector fo
pav-90 [236]

Answer:

Probability distribution vector = \left(\begin{array}{c}0.375\\ 0.625 \end{array} \right)

Step-By-Step Explanation

If P=\left(\begin{array}{cc}0.5&0.3\\ 0.5&0.7 \end{array} \right)  is the transition matrix for a Markov chain with two states.  

x_{0}=\left(\begin{array}{c}0.5\\ 0.5 \end{array} \right)  be the initial state vector for the population.

X_{1}=P x_{0}=\left(\begin{array}{cc}0.5&0.3\\ 0.5&0.7 \end{array} \right) \left(\begin{array}{c}0.5\\ 0.5 \end{array} \right) =\left(\begin{array}{c}0.4\\ 0.6 \end{array} \right)  

X_{2}=P^{2} x_{0}=\left(\begin{array}{c}0.38\\ 0.62 \end{array} \right)  

X_{3}=P^{3} x_{0}=\left(\begin{array}{c}0.38\\ 0.62 \end{array} \right)  

X_{30}=P^{30} x_{0}=\left(\begin{array}{c}0.37499\\ 0.625 \end{array} \right)  

In the long run, the probability distribution vector Xm approaches the probability distribution vector \left(\begin{array}{c}0.375\\ 0.625 \end{array} \right) .

This is called the steady-state (or limiting,) distribution vector.

4 0
3 years ago
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