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                         The Multiplication Rule of Probability is used to find 
the probability that event A and event B both occur. 
 
                          
                       The final solution will depend upon whether the two events are independent events, where one event does not affect the other.   | 
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                          In probability, an outcome is in event "A and B"  
                           only when the outcome is in both event A and event B. 
                           (Intersection) 
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                          In a Venn Diagram, an element is in the intersection of "A and B" only when the element is in BOTH sets.  | 
                      
                    
                   
                     
                       
                         
                           "AND" is associated with the concept of "BOTH", intersection (overlapping). 
                             You are looking for  elements in  the sample spaces for events A and B that overlap.                            
                           The notation   is used for AND (intersection).  
                            
                           
                             
                               
                                 Rules (for AND):   
                                                                   (may be referred to as the "Probability Multiplication Rule" 
                                 and is applied when more than one event occurs in succession.) 
                                  
                                 
                                     
                                    (when A and B are independent events)  
                                   P(A and B) = P(A) • P(B | A) 
                                     (when A and B are dependent - if A occurs first,  
                                    P(A and B) = P(A) • P(B, once A has occurred) 
                                   P(A and B) = P(B) • P(A | B)  
                                     (when A and B are dependent - if B occurs first,  
                                     P(A and B) = P(B) • P(A, once B has occurred) 
                                    
                                  
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                       The rule for "AND" must take into account  whether the events affect  one another. 
                      
Actually, there is really only ONE rule, the second rule.  
                     If sets A and B are independent, P(B | A) = P(B) or P(A | B) = P(A). 
                     So, P(A and B) = P(A) • P(B | A) = P(A) • P(B) when A and B are independent. 
                     Or, P(A and B) = P(B) • P(A |B) = P(B) • P(A) when A and B are independent. 
                      
                    
                   
                     
                       
                         
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                         A die is rolled and a penny is tossed. What is the probability that a 3 is rolled on the die and a head is tossed on the penny? | 
                      
                     
                       Solution: 
                         Sample space (die) = {1, 2, 3, 4, 5, 6} 
                         Event A: Rolling a 3 on a die:    P(A) = 1/6  
                           Sample space (penny)= {H, T} 
                           Event B: Tossing a head with the penny:    P(B) = 1/2  
                           Probability of BOTH: These are independent events. Event A does not have an effect on event B. 
                           Answer: P(A and B) = P(A) • P(B) = 1/6 • 1/2 = 1/12 | 
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                       Two cards are drawn from a standard deck of cards. What is the probability that the first card is a club and the second card is a heart?  
                       The first card was not put back into the deck after being drawn. | 
                      
                     
                       Solution: 
                         Sample space = {52 cards in the deck} 
                         Event A: Drawing a club: {13 clubs}    P(A) =  13/52 = 1/4 
                           Sample space = {51 cards - one card in now missing} 
                           Event B: Drawing a heart: {13 hearts}     P(B) =  13/51 
                           Probability of BOTH: These are dependent events. Event B is affected by  event A. Without replacing the card, the sample space for the second draw is changed to only 51 available cards. 
                           Answer: P(A and B) = P(A) • P(B | A) = 13/52 • 13/51 = 169/2652 
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                         Dependent events since the first card was not replaced. | 
                      
                    
                     
                   
                     
                       
                         
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                         A sack contains 4 green marbles, 3 blue marbles and 2 red marbles. What is the probability of drawing two green marbles in a row if the first marble is returned to the sack before the second draw (with replacement)? | 
                      
                     
                       Solution: 
                         Sample space = {9 marbles} 
                         Event A: Drawing a green marble:     P(A) =  4/9 
                           Sample space = {9 marbles} 
                           Event B: Drawing a green marble:      P(B) =  4/9 
                           Probability of BOTH: These are independent events. Event B is not affected by  event A since the first marble is replaced. 
                             Answer: P(A and B) = P(A) • P(B) = 4/9 • 4/9 = 16/81 
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                         Independent events since the first marble was replaced. | 
                      
                    
                   
                  
                  
                   
                                   
                  
                 
  
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