📚 Conditional probability is a concept that involves finding the probability of an event given that another event has already occurred.

⚖️ The conditional probability formula is derived from the concept of the rule of total probability, which states that the probability of an event can be found by dividing the number of favorable cases by the total number of cases.

🔢 In an example provided in the video, the probability of students liking mathematics and English is calculated based on the number of students who like each subject individually and the number of students who like both subjects.

💡 Conditional probability involves calculating the probability of an event happening, given that another event has already occurred.

🔢 To calculate conditional probability, we use the total number of favorable outcomes in the numerator and the total number of possible outcomes in the denominator.

📚 Conditional probability is used when there is a known condition or event that has already taken place.

📚 Conditional probability is used to calculate the probability of an event given a certain condition.

🔍 When considering conditional probability, the denominator represents the total number of cases, while the numerator represents the favorable cases given the condition.

✏️ In this case, the condition is that the student likes math, so the numerator would be the number of students who like both math and English.

⭐️ Conditional probability is used to determine the probability of an event given another event.

🔢 To calculate conditional probability, divide the number of favorable outcomes by the total number of outcomes in the given context.

✅ Simplifying the fraction in conditional probability involves dividing the numerator and denominator by the total number of outcomes.

📚 Conditional probability is calculated using the formula P(A|B) = P(A ∩ B) / P(B), where P(A|B) is the probability of event A occurring given that event B has already occurred.

🔢 The denominator of the formula represents the probability of event B, and the numerator represents the probability of the intersection of events A and B.

💡 It is important to understand the difference between calculating P(A|B) and P(B|A), as they are not the same.

Conditional probability is calculated by multiplying the probability of two events.

The conditional probability of event B given event A has occurred is equal to the probability of the intersection of A and B divided by the probability of event A.

Recognizing when to apply conditional probability is important in solving probability problems.

Conditional probability is used to calculate the probability of an event given a specific condition.

The denominator in the conditional probability formula only includes the relevant population based on the given condition.

Examples of conditions include knowing that a dog was selected or knowing that someone likes a specific subject.

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