Answer:
37.27% probability that he or she will have a heart attack.
Step-by-step explanation:
Bayes Theorem:
Two events, A and B.
In which P(B|A) is the probability of B happening when A has happened and P(A|B) is the probability of A happening when B has happened.
In this question:
Event A: Periodontal disease
Event B: Heart attack
Researchers discovered that 82% of people who have suffered a heart attack had periodontal disease, an inflammation of the gums.
This means that 
Only 33% of healthy people have this disease.
This means that 
Suppose that in a certain community heart attacks are quite rare, occurring with only 15% probability.
This means that 
If someone has periodontal disease, what is the probability that he or she will have a heart attack
37.27% probability that he or she will have a heart attack.
Answer:
this should be 132 units i hope this helps! :)
Step-by-step explanation:
so these figures are similar
we are given 3 side measurements on one, and 3 on the other
we know that side BA is 10 units, and that SR which is the same side, is 14 units
we can conclude that they added 4 units to this side
so with the other side lengths that we are given we can figure out what the length of the perimeter of RSTUV is
10 + 4 = 14
15 + 4 = 19
28 - 4 = 24
42 - 4 = 38
25 + 4 = 29
42 TU
28 UV
19 VR
14 SR
29 ST
add all the side together to get 132 units
If Nathan does 9 minutes of push ups for 3 days, that's 9 divided by 3, which is 3. (9/3=3) So nathan does 3 minutes of push ups each day, so just multiply each day by 3 to find the correlation between the two.
The Table should look like this:
# of days # of Minutes
1 3
2 6
3 9
4 12
5 15
6 18
7 21
The answer is 12
Explanation: as you replace -2 it will give 4 so when u add 4 to 8 it equals to 12
Answer:
-33
Step-by-step explanation:
· 
(-33)
