Is the Probability Formula P(C∩G) = P(G)P(C|G) Correct?

  • Thread starter princejan7
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That is, that you read it as being P(G|C).In summary, the book is correct in its formula P(C∩G) = P(G)P(C|G) and this can be seen by considering the definition of conditional probability and considering the case where C and G are independent.
  • #1
princejan7
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Homework Statement



My book says that
P(C∩G) = P(G)P(C|G)

but shouldn't it be

P(C∩G)= P(C)P(C|G)

?


Homework Equations





The Attempt at a Solution

 
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  • #2
princejan7 said:

Homework Statement



My book says that
P(C∩G) = P(G)P(C|G)

but shouldn't it be

P(C∩G)= P(C)P(C|G)
No. To see why, consider the case where ##C## and ##G## are independent. Then we expect ##P(C|G) = P(C)## and ##P(C \cap G) = P(C)P(G)##. That is consistent with the formula from the book, not your proposed formula.
 
  • #3
princejan7 said:

Homework Statement



My book says that
P(C∩G) = P(G)P(C|G)

but shouldn't it be

P(C∩G)= P(C)P(C|G)

?


Homework Equations





The Attempt at a Solution


The book is correct. The definitionof conditional probability is
[tex] P(C|G) \equiv \frac{P(C \cap G)}{P(G)} \text{ if } P(G) \neq 0 [/tex]
Sometimes, however, we are given ##P(C|G)## and ##P(G)##; in that case we can get ##P(C \cap G)## by 'reversing' the formula above.
 
Last edited:
  • #4
princejan7 said:
My book says that
P(C∩G) = P(G)P(C|G)

but shouldn't it be

P(C∩G)= P(C)P(C|G)
Perhaps you are misreading the notation. P(C|G) means the probability of the event C given that event G occurs. Maybe you read it as the other way around?
 

What is simple probability?

Simple probability is a branch of mathematics that deals with the likelihood or chance of an event occurring. It is a way to quantify uncertainty and make predictions based on data and assumptions.

How do you calculate simple probability?

Simple probability is calculated by dividing the number of favorable outcomes by the total number of possible outcomes. This can be represented by the formula P(A) = number of favorable outcomes / total number of possible outcomes.

What is the difference between simple and compound probability?

Simple probability deals with a single event, while compound probability deals with multiple events occurring together. In simple probability, each event is independent and does not affect the outcome of other events. In compound probability, the events may be dependent on each other.

What is the role of sample space in simple probability?

The sample space is the set of all possible outcomes in a given situation. It is important in simple probability as it helps to determine the total number of possible outcomes and calculate the probability of a specific event occurring.

How is simple probability used in real life?

Simple probability is used in many real-life situations, such as predicting the weather, calculating the chances of winning a game, or estimating the likelihood of a certain event happening. It is also used in risk assessment and decision making in fields such as finance, insurance, and healthcare.

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