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NNADVOKAT [17]
3 years ago
7

Solve for x. −12x+13>35 Drag and drop a number or symbol into each box to correctly complete the solution.

Mathematics
1 answer:
Katen [24]3 years ago
7 0

Answer:

x < -11/6.

Step-by-step explanation:

−12x + 13 > 35

-12x > 35 - 13

-12x > 22

Divide both sides by -12 and invert the inequality sign:

x < -22/12

x < -11/6.

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Find f-1.<br> f(x)=4 log2 (x – 7)
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Answer:

f(1) = 10.33985 + 18.1294406 i

Step-by-step explanation:

f(1) = 4log2(1-7)

f(1) = 10.33985 + 18.1294406 i

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What is the common factor of 10 15and 35​
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the common factor of all the numbers is 5

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Find the value of x.
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X would equal 38 because this is a straight angle so that would equal a total of 180 degrees. Since we already have 36 we subtract 180-36 and we get 144. Since there’s a 3x that means we divide the answer we got by 3. So 144/3 and you get 48. Hope this helps!
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Mary are 1/8 of a cake.peter ate 1/4 of the cake.<br> Did peter eat more then Mary
Sergio039 [100]

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Peter ate more

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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
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