IndietroPermutations, Combinations, and Factorials: Advanced Counting in Probability 3.4
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Section 3.4 Additional Topics in Probability and Counting
Factorials
Factorials are fundamental in counting problems, especially when determining the number of ways to arrange or select objects. The factorial of a non-negative integer n, denoted n!, is the product of all positive integers less than or equal to n.
Definition: For any integer n ≥ 0, n! is defined as the product of all positive integers up to n.
Special Cases: 0! = 1 and 1! = 1 by definition.
Example: 5! = 5 × 4 × 3 × 2 × 1 = 120
Calculator Tip: Use the PRB (probability) button to access the factorial function (!).
Permutations (nPr)
Permutations count the number of ways to arrange r objects selected from n distinct objects, where order matters.
Definition: An ordered arrangement of objects.
Formula:
Example: The number of ways to award 1st, 2nd, and 3rd place among 20 contestants: ways.
Combinations (nCr)
Combinations count the number of ways to select r objects from n distinct objects, where order does not matter.
Definition: An unordered selection of objects.
Formula:
Example: The number of ways to choose 6 numbers from 52 in a lottery: ways.
Distinguishable Permutations
When some objects are identical, the number of distinguishable arrangements is less than the total number of permutations. This is important for problems involving repeated items.
Definition: The number of ways to arrange n objects, where there are groups of identical items.
Formula:
Where are the counts of each type of repeated object, and .
Example: Arranging the letters in "AABBB": ways.
Summary Table: When to Use Each Counting Method
Situation | Key Features | Method | Formula |
|---|---|---|---|
Arranging all items (no repeats) | One number given, or r = n | Factorial | |
Selecting r items from n, order matters | Two numbers, order matters | Permutation | |
Selecting r items from n, order does not matter | Two numbers, order does not matter | Combination | |
Arranging n items with repeats | Repeated items | Distinguishable Permutation |
Counting and Probability
Counting methods are often used to determine the number of possible outcomes in a sample space, which is essential for calculating probabilities.
Sample Space: The set of all possible outcomes.
Probability of an Event E:
Example: Probability of guessing a unique 4-digit code (no repeats):
Worked Examples
Committees: Number of ways to choose 4 students from 15 (order not important):
Race Results: Number of ways 20 people can finish 1st, 2nd, 3rd (order matters):
Arranging Disks with Repeats: 4 red, 6 black, 2 green, 3 yellow disks in a row:
All Arrangements: 8 skiers, all finish orders:
Lottery: Ways to choose 6 numbers from 52 (order not important):
Probability of Winning Lottery:
Singing Competition: 16 finalists, top 5 prizes (order matters):
Necklace with Repeated Glass: 9 blue, 3 red, 7 green pieces:
Pizza Toppings Probability: Probability of a specific 3-topping pizza from 9 toppings: possible pizzas,
Cyclists Race: 15 cyclists, top 3 finishers:
Basketball Defense Assignments: 5 players, each defends one: or
Restaurant Meal Combinations: 3 appetizers (10 choices), 2 main courses (18), 2 desserts (13):
Soil Sample Selection: Choose 2 contaminated from 8, 8 non-contaminated from 42:
Key Takeaways
Use factorials for arranging all items or when r = n.
Use permutations when order matters and selecting r from n.
Use combinations when order does not matter and selecting r from n.
Use distinguishable permutations when arranging items with repeats.
Counting methods are essential for calculating probabilities in finite sample spaces.
Additional info: The notes also emphasize calculator usage for these operations, especially for large numbers, and the importance of entering expressions in one step to avoid overflow or errors.