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3 years ago

Which ordered pair is a solution to the system of equations? {2x−y=−1

1 answer:

3 0

The answer is A. (-2,-3)
You can use your graphing calculator and go to Matrix and edit. Then plug in the values and next, go to rref and find the values.

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Simplify the equation.

artcher [175]

Answer:

4x+30.97777... (7 repeating)

Step-by-step explanation:

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3 years ago

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The formula c² = a² + b² is the Pythagorean Theorem used to find the sides of a right

Soloha48 [4]

Answer: 5 cm

Step-by-step explanation:

B = $\sqrt{13^{2} -12^{2} } = 5$

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2 years ago

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MY LAST QUESTION<br><br> help me pleaseee<br><br> thankss

Brrunno [24]

Answer: there you go

Step-by-step explanation:

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3 years ago

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Pls help asap adn dont guess :DD

sashaice [31]

Answer:

${ \huge \star} \boxed{ \sqrt{3} \times 7 \sqrt{6}}{ \huge \star} \\ = \sqrt{3} \times 7 \times \sqrt{2 \times 3} \\ = 3 \times 7 \times \sqrt{2} \\ = \boxed{ 21 \sqrt{2}}$

<h3><u>21√2</u> is the right answer.</h3>

3 0

3 years ago

In answering on a multiple choice test, a student either know the answer or guesses. Let p be the probability that the students

LenaWriter [7]

Answer:

$P(A_{1}|B ) =\frac{mp}{1+p(m-1)}$

Step-by-step explanation:

For mutually exclusive events as A1, A2, A3, etc, Bayes' theorem states:

$P(A|B)= \frac{P(B|A)P(A)}{P(B)}$

P(A|B) is a conditional probability: the likelihood of event A occurring given that B is true.

P(B|A) is a conditional probability: the likelihood of event B occurring given that A is true.

P(A) is the probability that A occurs

P(B) is the probability that B occurs

For this problem:

A1 is the probability that the student knows the answer

A2 is the probability that the student guesses the answer

B is the probability that the student answer correctly

$P(A_{1})=p \\P(A_{2})=1-p \\P(B|A_{1})=1 \\P(B|A_{2})=\frac{1}{m} \\P(B)= P(A_{1})P(B|A_{1}) + P(A_{2})P(B|A_{2})= p+\frac{1-p}{m} \\$

P(B|A₁) means the probability that the answer is correct when he knew the answer

P(B|A₂) means the probability that the answer is correct when he guessed the answer

P(A₁|B) means the probability that he knew the answer when the answer was correct

Replacing everything in the Bayes' theorem you get:

$P(A_{1}|B)= \frac{P(B|A_{1})P(A_{1})}{P(B)}=\frac{(1)(p)}{p+\frac{1-p}{m}} =\frac{mp}{mp+1-p} =\frac{mp}{1+p(m-1)}$

5 0

3 years ago