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Lecture 9

# MATH 141 Lecture 9: Statistics 10/11/2016 Premium

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Department
MATH - Mathematics
Course Code
MATH 141
Professor
Zhang

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Description
Statistics 10/11/2016 Conditional probability and its application – Case difference Independent/Dependent events Let say we have events A and B. If the result of event A does NOT influence the result of event B, we say these events are independent. Otherwise, they are dependent. If event A and B are independent, because we need to get event A done first step and B for the second step. Rolling a fair dice  What is the probability of obtaining a ‘2’ = 1/6  What is the probability again of obtaining a ‘2’ if you know the number is even already? 1/3 Conditional probability  Based on an event B in the past (Reason Event: you know my number is even) to forecast the event A (obtaining a ‘2’) in the future.  A|B: The conditional event A, given the reason event B has already happened.  P(A|B): The probability that A happens given the result of B. A|
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