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Permutations & Combinations
MATH 102 Contemporary Math S. Rook
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Overview Section 13.3 in the textbook: Factorial notation Permutations
Combinations Combining counting methods
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Factorial Notation
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Factorial Notation Recall the problem of counting how many ways we can seat three men in three chairs Because the product n x (n – 1) x … x 2 x 1 occurs often, we often write it in shorthand notation as n! The exclamation point is pronounced factorial n! means the product of n down to 1 3! = 3 · 2! = 3 · 2 · 1! = 3 · 2 · 1 = 6 1! AND 0! are both equivalent to 1 n! = n · (n – 1)! We can expand a factorial into a product in order to quickly evaluate expressions containing factorials
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Factorial Notation (Example)
Ex 1: Evaluate by hand: a) (8 – 5)! b) c)
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Permutations
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Permutations Recall that order affects a counting problem
Permutation means to count the number of possibilities when order among selections is important e.g. From a room of four servants, how many ways can we select a group of three people if one is to cook, one is to chauffer, and one is to clean? We can calculate a permutation using the Fundamental Counting Principle or: Given a collection of n objects, the number of orderings of r of the objects is:
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Permutations (Example)
Ex 2: On a biology quiz, a student must match eight terms with their definitions. Assume that the same term cannot be used twice. How many possibilities are there?
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Permutations (Example)
Ex 3: How many ways can we select a president, vice-president, secretary and treasurer of an organization from a group of 10 people?
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Combinations
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Combinations Combination means to count the number of possibilities when order among selections is NOT important e.g. From a room of three servants, how many ways can we pick two valets for a party? Consider starting with a permutation Which choices list the same elements, but in a different order? The number of possibilities for a combination must be smaller than the number for a permutation Given a collection of n objects, the number of orderings of r of the objects
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Combinations (Example)
Ex 4: Six players are to be selected from a 25-player Major League Baseball team to visit a school to support a summer reading program. How many different ways can the group of players be selected?
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Combinations (Example)
Ex 5: Suppose a pizzeria offers a choice of 12 toppings. How many pizzas can be created with 4 toppings?
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Combining Counting Methods
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Combining Counting Methods
Recall that the F.C.P. considers counting problems occurring in stages Sometimes the number of results of a stage can be a permutation or combination Possible to have a mixture of permutations AND combinations in the same problem It is ESSENTIAL to understand the difference between permutations and combinations!
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Combining Counting Methods (Example)
Ex 6: Nicetown is forming a committee to investigate ways to improve public safety in the town. The committee will consist of three representatives from the seven-member town council, two members of a five-person citizens advisory board, and three of the 11 police officers on the force. How many ways can that committee be formed?
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Combining Counting Methods (Example)
Ex 7: The students in the 12-member advanced communications design class at Center City Community College are submitting a project to a national competition. The must select a four-member team to attend the competition. The team must have a team leader and a main presenter while the other two equally-standing members have no particularly defined roles. In how many different ways can this team be formed?
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Combining Counting Methods (Example)
Ex 8: Randy only likes movies and music. When writing a wishlist, he lists 10 movies and 6 music albums he would like to own. How many possibilities exist if his mother buys him 3 movies and 2 music albums from the wishlist?
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Summary After studying these slides, you should know how to do the following: Evaluate expressions involving factorials Differentiate between permutations & combinations Apply permutations & combinations to solve counting problems Additional Practice: See problems in Section 13.3 Next Lesson: The Basics of Probability Theory (Section 14.1)
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