Probability and statistics question
testing positive for a disease when you don't really have the disease is which of these? 
a. neither a false negative nor a false positive
b. both a false negative and a false positive
c. a false positive
d. a false negative

C.

Step-by-step explanation:

A false negative is when you test negative when you should have tested positive

A false positive is when you test positive on a test you should have been negative on

14.3

step-by-step explanation:

add all the numbers together.

9 + 12 + 15 + 16 + 17 + 17 = 86

now, divide 86 by how many numbers we have: 6.

86 / 6 = 14.3

check above link.

graphically?   well, you graph them both, the solutions is where they both intersect each other, since there are two solutions, meaning they will meet twice, or namely the linear will run into the quadratic curve twice, and where they meet, those x,y coordinates are the solutions to the system.