Answer:
0.057258
Step-by-step explanation:
From the statement of the problem, the following information were given:
- P(Positive|HIV)=0.979
- P(Negative|No HIV)=0.919
- P(HIV)=0.005
The following can be derived:
- P(Positive|No HIV)=1-P(Negative|No HIV)=1-0.919=0.081
- P(No HIV)=1-P(HIV)=1-0.005=0.995
We are to determine the probability that a person has HIV given that they test positive. [P(HIV|Positive)]
Using Baye's theorem for Conditional Probability
The probability that a random person tested has HIV given that they tested positive is 0.057258.
We have A number of apples, each purchased at 15 cents.
We can, thus, calculate the total cost of apples as follows:
Total cost of apples = 15A cents
We have B number of bananas, each purchased at 10 cents.
We can, thus, calculate the total cost of bananas as follows:
Total cost of bananas = 10B cents
Now, the total cost of purchases can be calculated by adding the amount paid for both types (apples and bananas) as follows:
Total cost = cost of apples + cost of bananas = 15A + 10B cents
16 divided by 2=8 and 4 times 2= 8
Answer:
13.3
Step-by-step explanation:
The factors of the expression is 2and -3
