Conditional Probability

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•
Mathematics
•
10th - 12th Grade
•
Hard
+4
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1.
FLASHCARD QUESTION
Front
What is Conditional Probability?
Back
Conditional Probability is the probability of an event occurring given that another event has already occurred. It is denoted as P(A|B), which means the probability of event A given event B.
Tags
CCSS.HSS.CP.A.5
CCSS.HSS.CP.A.3
2.
FLASHCARD QUESTION
Front
How is Conditional Probability calculated?
Back
Conditional Probability is calculated using the formula: P(A|B) = P(A and B) / P(B), where P(A and B) is the probability of both events occurring and P(B) is the probability of event B.
Tags
CCSS.HSS.CP.A.5
CCSS.HSS.CP.A.3
3.
FLASHCARD QUESTION
Front
What does P(A|B) represent?
Back
P(A|B) represents the probability of event A occurring given that event B has occurred.
Tags
CCSS.HSS.CP.A.3
CCSS.HSS.CP.A.5
4.
FLASHCARD QUESTION
Front
What is the difference between independent and dependent events?
Back
Independent events are events where the occurrence of one does not affect the probability of the other. Dependent events are events where the occurrence of one event affects the probability of the other.
Tags
CCSS.HSS.CP.A.5
5.
FLASHCARD QUESTION
Front
If P(A) = 0.5 and P(B) = 0.4, what is P(A and B) if A and B are independent?
Back
If A and B are independent, P(A and B) = P(A) * P(B) = 0.5 * 0.4 = 0.2.
Tags
CCSS.HSS.CP.A.2
CCSS.HSS.CP.A.4
6.
FLASHCARD QUESTION
Front
What is the Law of Total Probability?
Back
The Law of Total Probability states that if B1, B2, ..., Bn are mutually exclusive events that cover the entire sample space, then P(A) = P(A|B1)P(B1) + P(A|B2)P(B2) + ... + P(A|Bn)P(Bn).
7.
FLASHCARD QUESTION
Front
What is Bayes' Theorem?
Back
Bayes' Theorem relates the conditional and marginal probabilities of random events. It is expressed as: P(A|B) = [P(B|A) * P(A)] / P(B).
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