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dalvyx [7]
3 years ago
15

Solve the system by substitution − 2x − 10y= 26 x+ 5y=− 13

Mathematics
2 answers:
solong [7]3 years ago
7 0

Answer:

x=-13-5y

Step-by-step explanation:

Sav [38]3 years ago
4 0

Answer:

infinite solutions... they are the same line

Step-by-step explanation:

x = -5y-13

-2(-5y-13) - 10y = 26

10y+26 - 10y = 26

0=0

infinite solutions... they are the same line

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F(x)x^2-2x and g(x)=6x+4 for which value of x does (f+g)(x)=0
Papessa [141]

Answer:

(f+g)(x)

Step-by-step explanation:

(f+g)(x)=

{x}^{2}  - 2x + 6x + 4 = {x}^{2} +  4x + 4

(x + 2)(x + 2) = 0

(x + 2) = 0 \\ x =  - 2

6 0
3 years ago
Measuring Angles. Please help me this is due at 11:59 today. Please and thank you​
Mars2501 [29]

Answer:

35 degrees

Step-by-step explanation:

2x+13+10x=145

2x+10x+13=145

12x+13=145

12x=145-13

12x=132

X=11

2×+13

(2×11)+13

22+13=35

4 0
3 years ago
The architect then solves this system of equations.
Nikolay [14]

Answer:

Step-by-step explanation:

.

3 0
3 years ago
Suppose that 100,000 men were screened for prostate cancer for the first time. Of these, 4,000 men had a positive result on the
Virty [35]

An actual two-by-two table is a tabular representation containing two rows and two columns.

  • The columns consist of the tested True positive for prostate cancer and tested True Negative for prostate cancer
  • The rows consist of the predicted positive screening and predicted negative values

<h3>a)</h3>

Mathematically, the set-up of the two-by-two table for this data can be computed as:

Tested                  True Positive for cancer   True Negative    Total

Predicted Positive         800                            3200                 4000

Predicted Negative        100                            95900              96000

Total                                900                            99100              100000  

<h3>b)</h3>

The prevalence rate of prostate cancer in this population is:

\mathbf{ =\dfrac{900}{100000}}

\mathbf{ =\dfrac{9}{1000}}

= 9 per thousand.

<h3>c)</h3>

The calculation of the sensitivity of this screening is as follows:

\mathbf{=\dfrac{TP}{TP+PN_1}}

where;

  • TP = True positive for cancer
  • PN₁ = Predicted Negative for true positive cancer

∴

\mathbf{=\dfrac{800}{800+100}}

= 0.889

= 88.9%

The interpretation shows that 88.9% are correctly identified to be actual positive for prostate cancer.

<h3>d)</h3>

The calculation of the specificity  of this screening is as follows:

\mathbf{=\dfrac{PN_2}{PN_2+TN}}

where;

  • TN = True positive for cancer
  • PN₂ = Predicted Negative for true negative cancer

∴

\mathbf{=\dfrac{95900}{95900+3200}}

= 0.9677

= 96.77%

The interpretation shows that 96.7% of an actual negative is correctly identified as such.

<h3>e)</h3>

The positive predicted value of the screening test is computed as:

\mathbf{= \dfrac{TP}{TP + TN}}

\mathbf{= \dfrac{800}{800 + 3200}}

= 0.2

= 20%

The interpretation of the positive predicted value of this screening shows that 20% that are subjected to the diagnosis of positive prostate cancer truly have the disease.

Learn more about tabular representation here:

brainly.com/question/8307968

6 0
2 years ago
Anton drank 3/4 bottle of water. Brad drank 7/8 bottle of water. a) who drank more water? b) How much more water did he drink
tiny-mole [99]

Answer:

Brad drank 1/8 bottle more water.

Step-by-step explanation:

8 0
3 years ago
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