Simple conditional probability problem

Therefore, A and B CAN occur at the same time. In summary, the probability of choosing canola oil given that the oil chosen is polyunsaturated is 48.95% out of the total polyunsaturated oil sold in the supermarket. The relevant equation to use is P(canola|poly) = P(A∩B) / P(B).
  • #1
theBEAST
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Homework Statement


There are two types of cooking oil, mono- and polyunsaturated. In a supermarket, 10.526% of the oil sold is mono-, of this 3.684% is canola oil and 6.842% is corn oil. The remaining 89.48% of the oil sold is poly-, of this 48.95% is canola oil and 40.53% is corn oil.

Given that the oil chosen is poly-, what is the probability that it is canola oil?

Homework Equations


P(A|B) = P(A∩B) / P(B)

The Attempt at a Solution


P(A∩B) means probability of A and B occurring at the same time but I don't think they can occur at the same time? Does this mean my relevant equation is false?

Intuitively I feel like the answer is just P(canola|poly) / [(P(canola|poly) + P(corn|poly)]. So (48.95)/(48.95+40.53).
 
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  • #2
Your relevant equation and your answer are correct but your reasoning and your nomenclature are incorrect.

P(canola|poly) is not 48.95%. P(canola|poly) is what the problem is asking you to solve. That 48.95%? That's P(A∩B) where A=canola and B=poly. That brings up a problem with your reasoning. Oil can be both canola oil (event A) and polyunsaturated (event B).
 

1. What is a simple conditional probability problem?

A simple conditional probability problem is a type of probability problem that involves calculating the likelihood of an event occurring given that another event has already occurred. It requires knowledge of basic probability concepts and the use of conditional probability formulas.

2. How is conditional probability different from regular probability?

Regular probability deals with the likelihood of an event occurring without considering any other events. Conditional probability, on the other hand, takes into account the occurrence of a related event and adjusts the probability accordingly.

3. Can you give an example of a simple conditional probability problem?

One example of a simple conditional probability problem is rolling two dice and finding the probability of getting a sum of 8 given that one of the dice is a 4. In this scenario, the occurrence of one event (rolling a 4) affects the likelihood of the other event (getting a sum of 8).

4. What is the formula for calculating conditional probability?

The formula for calculating conditional probability is P(A|B) = P(A and B) / P(B), where P(A|B) represents the conditional probability of event A given that event B has occurred, P(A and B) represents the probability of both events occurring, and P(B) represents the probability of event B occurring.

5. How can I use conditional probability in real life?

Conditional probability can be used in various real-life scenarios, such as weather forecasting, medical diagnosis, and risk assessment. For example, doctors may use conditional probability to determine the likelihood of a patient having a certain disease based on their symptoms and medical history.

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