(CONDITIONAL PROBABILITY) Which probability would you expect to be greater?

In summary, conditional probability is the likelihood of an event occurring given that another event has already occurred. It is calculated by dividing the probability of the joint occurrence of two events by the probability of the first event. The difference between conditional probability and regular probability is that conditional probability takes into account additional information, while regular probability does not. The expected outcome of either conditional or regular probability depends on the specific events and information being considered. Understanding conditional probability can be useful in real life for making informed decisions and predictions, such as in the medical field or in business.
  • #1
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Which probability would you expect to be greater?

(a) The probability that a person is smart given that he has a university degree,

OR,

(b) the probability that a person has a university degree given that he is smart? I would say (a)>(b), but, what would you say?
 
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  • #2
With no data, we're just guessing aren't we. I would guess in agreement with you because I would guess that the proportion of people with university degrees worldwide isn't that large, smart or not.
 
  • #3


I agree with your assessment that the probability in (a) would be greater than the probability in (b). This is because having a university degree is just one factor that can contribute to a person being considered "smart". There are many other factors and qualities that can make a person smart, such as natural intelligence, critical thinking skills, and problem-solving abilities. Therefore, the probability of a person being smart given that they have a university degree would likely be higher than the probability of a person having a university degree given that they are smart.
 

What is conditional probability?

Conditional probability is the likelihood of an event occurring given that another event has already occurred.

How is conditional probability calculated?

Conditional probability is calculated by dividing the probability of the joint occurrence of two events by the probability of the first event. In other words, it is the probability of event B given event A has occurred.

What is the difference between conditional probability and regular probability?

Regular probability is the likelihood of an event occurring without any prior knowledge or information. Conditional probability takes into account additional information, such as a previous event, to determine the likelihood of a subsequent event.

Which probability would you expect to be greater - conditional or regular probability?

It depends on the specific events and information being considered. In some cases, conditional probability may be greater, while in others, regular probability may be greater. It ultimately depends on the relationship between the events and the given information.

How can understanding conditional probability be useful in real life?

Understanding conditional probability can be useful in making informed decisions and predicting outcomes. For example, in the medical field, understanding the conditional probability of a certain symptom given a specific disease can aid in diagnosis. In business, understanding the conditional probability of customer behavior based on demographics can inform marketing strategies.

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