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Chapter 10 – Data Analysis and Probability 10.4 – The Fundamental Counting Principle and Permutations

Chapter 10 – Data Analysis and Probability 10.4 – The Fundamental Counting Principle and Permutations

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Page 1: Chapter 10 – Data Analysis and Probability 10.4 – The Fundamental Counting Principle and Permutations

Chapter 10 – Data Analysis and Probability

10.4 – The Fundamental Counting Principle and Permutations

Page 2: Chapter 10 – Data Analysis and Probability 10.4 – The Fundamental Counting Principle and Permutations

10.4 – The Fundamental Counting Principle and Permutations If your lunch options are chicken, pasta or

fish for the main dish and soup or salad for the side dish, how many different lunch choices do you have?

Page 3: Chapter 10 – Data Analysis and Probability 10.4 – The Fundamental Counting Principle and Permutations

10.4 – The Fundamental Counting Principle and Permutations Fundamental Counting Principle

Two Events If one event can occur in m ways and another

event can occur in n ways, then the number of ways that BOTH events can occur is m · n

Three Events If one event can occur in m ways, a second event

can occur in n ways, and a third event can occur in p ways, then the number of ways that ALL THREE events can occur is m · n · p

The principle also applies to four or more events

Page 4: Chapter 10 – Data Analysis and Probability 10.4 – The Fundamental Counting Principle and Permutations

10.4 – The Fundamental Counting Principle and Permutations Example 1

At a blood drive, blood can be labeled one of four types (A, B, AB, or O) one of two Rh factors (+ or -), and one of two genders (F or M). How many different ways can blood be labeled?

Page 5: Chapter 10 – Data Analysis and Probability 10.4 – The Fundamental Counting Principle and Permutations

10.4 – The Fundamental Counting Principle and Permutations Example 2

Suppose a bicycle license plate is 2 letters followed by 4 digits.

How many license plates are possible if letters and digits can be repeated?

How many license plates are possible if letters and digits cannot be repeated?

Page 6: Chapter 10 – Data Analysis and Probability 10.4 – The Fundamental Counting Principle and Permutations

10.4 – The Fundamental Counting Principle and Permutations Permutation – an ordering of a set of objects

is a permutation of the objects.

By the fundamental counting principle, there are 6 permutations (3 · 2 · 1) of 3 objects.

Ex. A, B, C ABC, ACB, BAC, BCA, CAB, CBA

Page 7: Chapter 10 – Data Analysis and Probability 10.4 – The Fundamental Counting Principle and Permutations

10.4 – The Fundamental Counting Principle and Permutations You can also write the expression 3 · 2 · 1 as

3!. Factorial (!) – the number multiplied by one

less each time until you get to one Ex. 4! = 4 · 3 · 2 · 1 Ex. 5! = 5 · 4 · 3 · 2 · 1 Ex. 6! = 6 · 5 · 4 · 3 · 2 · 1

Page 8: Chapter 10 – Data Analysis and Probability 10.4 – The Fundamental Counting Principle and Permutations

10.4 – The Fundamental Counting Principle and Permutations Example 3

A television news director has 8 news stories to present on the evening news.

How many different ways can the stories be presented?

If only 3 of the stories will be presented, how many possible ways can a lead story, a second story, and a closing story be presented?

Page 9: Chapter 10 – Data Analysis and Probability 10.4 – The Fundamental Counting Principle and Permutations

10.4 – The Fundamental Counting Principle and Permutations In the previous example, there were 3 news

stories chosen from 8 total news stories. This is a permutation of 8 objects taken 3 at a time (8P3).

8P3 = 8 · 7 · 6 = 8 · 7 · 6 · 5 · 4 · 3 · 2 · 1

5 · 4 · 3 · 2 · 1

Page 10: Chapter 10 – Data Analysis and Probability 10.4 – The Fundamental Counting Principle and Permutations

10.4 – The Fundamental Counting Principle and Permutations Permutations of n Objects Taken r at a Time

The number of permutations of n objects taken r at a time is denoted by nPr and is given by the following formula:

n P r = n! .

_(n – r)!

Page 11: Chapter 10 – Data Analysis and Probability 10.4 – The Fundamental Counting Principle and Permutations

10.4 – The Fundamental Counting Principle and Permutations Example 4

Your grocery shopping cart has 8 items. In how many orders can the checkout clerk scan 5 of the items?

In how many orders can the clerk scan all 8 of the items?

Page 12: Chapter 10 – Data Analysis and Probability 10.4 – The Fundamental Counting Principle and Permutations

10.4 – The Fundamental Counting Principle and Permutations

HOMEWORK

10.4 Practice A Worksheet