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:
- 2
Step-by-step explanation:
The question is - 5 + - 4 + 7
You do addition first.
-4 + 7 = 3
So now we have - 5 + 3
-5 + 3 = - 2
Answer:
Yes, B
Step-by-step explanation:
Yes the data is linear because there is a constant rate of change.
For x or the input the rate of change is plus 2
For y or the output the rate of change is plus 4
y/x is your slope so 4/2=2
and the only equation with a slope of 2 is B
Answer:
The confidence interval is 
Step-by-step explanation:
From the question we are told that
The sample mean is 
The standard deviation is 
The sample size is 
given that the confidence level is 85% then the level of significance is mathematically represented as
Next we obtain the critical value of 
from the normal distribution table the value is
Generally the margin of error is mathematically represented as
=> 
=> 
The 85% confidence interval is mathematically represented as
=> 
=>
