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2 years ago

Find the greatest common factor of 34 and 49.

Mathematics

2 answers:

MAXImum [283]2 years ago

3 0

Answer:

Step-by-step explanation:

We found the factors and prime factorization of 34 and 49. The biggest common factor number is the GCF number.

So the greatest common factor 34 and 49 is 7.

oksano4ka [1.4K]2 years ago

3 0

Answer:

Step-by-step explanation:

Factors of 34 are going to be 1, 2, 17, and 34.

Whilst the factors of 49 are 1, 7, and 49. They do not share any other factor other than 1

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With an inelastic collision, you have to use the conservation of ____.

Sedbober [7]

Answer:

momentum

Explanation:

kenetic energy is not conserved so it turns into a different form of energy, this being momentum

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3 years ago

Find m (2x+14)<br> (X+7)

LekaFEV [45]

Answer:

Step-by-step explanation:

Ⓗⓘ ⓣⓗⓔⓡⓔ

Well, assuming m of angle ABD is 90 degrees, then you would add and then solve.

2x+14+x+7=90

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3x=69

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3 years ago

Can someone please explain this for me, thank you.

r-ruslan [8.4K]

just divide Atlantic/Mississippi

$\frac{3.1 \times {10}^{17} }{6.3 \times {10}^{11} } = \frac{3.1}{6.3} \times \frac{ {10}^{17} }{ {10}^{11} } \\ = 0.492 \times {10}^{17 - 11} \\ = 0.492 \times {10}^{6} \\ = 4.92 \times {10}^{5}$

7 0

3 years ago

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

What are the like terms in this expression? 7x - 2y + 4x

julsineya [31]

Collect like terms:
(7x+4x)−2y

Simplify:
11x-2y

3 0

3 years ago

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