C 39.99 adding it all together
(1)
we are given

we can use quadratic formula


now, we can compare and find a , b and c
we get

now, we can plug these values into quadratic formula


we can simplify it



so, we will get solution
{−3+i, −3−i}.........Answer
(2)
we are given equation as

Since, Jamal solve this equation by completing square
so, firstly we will move constant term on right side
so, subtract both sides by 14


we can write

so, we will add both sides by 4^2

we get
..............Answer
x=2/9
Step-by-step explanation:
Step 1: Simplify both sides of the equation.
−4−3x=6x−6
−4+−3x=6x+−6
−3x−4=6x−6
Step 2: Subtract 6x from both sides.
−3x−4−6x=6x−6−6x
−9x−4=−6
Step 3: Add 4 to both sides.
−9x−4+4=−6+4
−9x=−2
Step 4: Divide both sides by -9.
−9x
−9
=
−2
−9
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:


= 9 per thousand.
<h3>
c)</h3>
The calculation of the sensitivity of this screening is as follows:

where;
- TP = True positive for cancer
- PN₁ = Predicted Negative for true positive cancer
∴

= 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:

where;
- TN = True positive for cancer
- PN₂ = Predicted Negative for true negative cancer
∴

= 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:


= 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
Answer:
ez
Step-by-step explanation: