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yawa3891 [41]
3 years ago
8

Which of the following equations has the same solution as the equation 3x+2y= -12?

Mathematics
1 answer:
vodka [1.7K]3 years ago
5 0
-3x - 2 = 12 is the answer
Take the original problem and input (-2,-3)
3(-2) + 2(-3) = -12
-6 + -6 = -12
Now input into new problem:
-3(-2) - 2(-3) = 12
6 + 6 = 12
PLEASE GIVE BRAINLIEST
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Can anyone Pleaseee tell me how to do this I’m a little confused?
Nadya [2.5K]

Answer:

Step-by-step explanation:

They are both 25.

Why because in a 45, 45, 90 triangle the formula to find the three sides is a, a, a√2.

6 0
3 years ago
darius and dakota re roommates. together they have 238 books. if darius has 50 more books than dakota, how many books does dakot
Fofino [41]

Answer:

Dakota has 94 books, while Darius has 144.

Step-by-step explanation:

Given that Darius and Dakota are roommates, and together they have 238 books, if Darius has 50 more books than Dakota, to determine how many books does Dakota have the following calculation must be performed:

Dakota = X

Darius = X + 50

X + X + 50 = 238

2X + 50 = 238

2X = 238 - 50

X = 188/2

X = 94

Therefore, Dakota has 94 books, while Darius has 144.

3 0
2 years ago
Item 1
Nady [450]

9514 1404 393

Answer:

  ∠1 = ∠3 = ∠5 = ∠7 = 81°

  ∠2 = ∠4 = ∠6 = 99°

Step-by-step explanation:

Vertical and corresponding angles are congruent. Angles 1 and 99° are supplementary, so ...

  ∠1 = 180° -99° = 81°

Then we have ...

  ∠1 = ∠3 = ∠5 = ∠7 = 81°

  ∠2 = ∠4 = ∠6 = 99°

3 0
3 years ago
A recent nationwide study investigated the value of the prostate-specific antigen (PSA) blood test for the detection of prostate
MaRussiya [10]

Answer:

Step-by-step explanation:

Remember:

Any medical test used to detect certain sicknesses have several probabilities associated with their results.

Positive (test is +) ⇒ P(+)

True positive (test is + and the patient is sick) ⇒ P(+ ∩ S)

False-positive (test is + but the patient is healthy) ⇒P(+ ∩ H)

Negative (test is -) ⇒ P(-)

True negative (test is - and the patient is healthy) ⇒ P(- ∩ H)

False-negative (test is - but the patient is sick) ⇒ P(- ∩ S)

You can arrange them in a contingency table as:

Probabilities  Positive ; Negative

           Sick     + ∩ S    ;    - ∩ S        S          

      Healthy    + ∩ H    ;   - ∩ H        H

                            +              -            1

The sensibility of the test is defined as the capacity of the test to detect the sickness in sick patients (true positive rate).

⇒ P(+/S) = <u>P(+ ∩ S)</u>

                    P(S)

The specificity of the test is the capacity of the test to have a negative result when the patients are truly healthy (true negative rate)

⇒ P(-/H) = <u>P(- ∩ H)</u>

                    P(H)

1) You are studying the value of the prostate-specific antigen (PSA) blood test for the detection of prostate cancer on men of 50 years of age and older.

Total 100000 men

686 men tested positive

281 of the men that tested positive had cancer

45 men that tested negative had cancer

Total - positive cases: 100000 - 686 = 99314 tested negative

              ;  Positive   ;   Negative   ;   Total

Sick        ;     281       ;      45           ;    326

Healthy  ;     405      ;    99269      ;   99674

Total       ;    686       ;    99314       ;  100000  

2)

Sensitivity of the test is

P(+/S) = <u>P(+ ∩ S) </u>=  <u>0.00281 </u>= 0.86

                P(S)        0.00326

Where:

P(+ ∩ S) = 281/100000 = 0.00281

P(S) = 326/100000 = 0.00326

The test has an 86% probability of detecting PSA in sick patients.

3)

Specificity of the test is

P(-/H) = <u>P(- ∩ H) </u>= <u>0.99269 </u>= 0.995

                P(H)       0.99674

Where:

P(- ∩ H)= 99269/100000= 0.99269

P(H)= 99674/100000= 0.99674

The test has a 99.5% probability of not detecting PSA in healthy patients.

4)

Positive predictive value (PPV)

It's defined as the probability of being sick when the test is positive:

P(S/+)= <u>P(S ∩ +) </u>= <u>0.00281 </u>= 0.04

                P(+)       0.0686

Where

P(+)= 686/100000= 0.0686

There is a 4% probability of having cancer if the test is positive.

5)

Negative predictive value (NPV)

P(H/-)= <u>P(H ∩ -) </u>= <u>0.99269 =</u> 0.999

               P(-)        0.99314

Where:

P(-)= 99314/100000= 0.99314

There is a 99.9% probability of being healthy if the test is negative.

6 to 10 are all examples of medical tests.

I hope this helps!

7 0
3 years ago
What is the solution to the system of equations?<br><br> 6x−4y=152<br><br> y=3x−762
Lelu [443]

Answer:

Hi! The correct answer is (1448/3, 686)

Step-by-step explanation:

<u><em>~Solve for the first variable in one of the equations, then substitute the result into the other equation~</em></u>

6 0
2 years ago
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