1. Unit 3 Seminar: Probability and Counting Techniques

2. Counting (Combinatorics)

3. I have three shirts: white, blue, pink And two skirts: black, tan How many different outfits can I make?

4. Choose shirt white blue pink Choose skirt black tan black tan black tan 3*2 = 6 outfits

5. If you can choose one item from a group of M items and a second item from a group of N items, then the total number of two-item choices you can make is M*N.

6. A person can be classified by eye color (brown, blue, green), hair color (black, brown, blonde, red) and gender (male, female). How many different classifications are possible?

7. An ID number consists of a letter followed by 4 digits, the last of which must be 0 or 1. How many different ID numbers are possible?

8. A permutation is an ordered arrangement of things. For example, the permutations of the word BAD are: BAD ABD DAB BDA ADB DBA Note: AAA is not a permutation of BAD

9. We can use the counting principle to count permutations. Example: How many ways can we arrange the letters GUITAR ?

10. n! = n(n-1)(n-2) … 1 6! = 6*5*4*3*2*1 = 720

11. What about repeats? Example: How many ways can we arrange the letters MISSISSIPPI ?

12. Sometimes we don’t use all of the available items. Example: How many ways can we arrange three of the letters WINDY ? “permutations of size 3, taken from 5 things”

13. How many ways can a President, Vice President and Secretary be chosen from a group of 10 people?

14. How many selections of 2 letters from the letters WIND can be made (order doesn’t matter) ?

15. The number of combinations of n things taken r at a time:

16. How many ways can three people be chosen from a group of 10 people?

17. Basic Probability

18. 1.)Classical – based on theory ex: games of chance 2.)Empirical – based on historical observations ex: sports betting 3.)Subjective – based on an educated guess or a rational belief in the truth or falsity of propositions see: “A Treatise on Probability” by John Maynard Keynes

19. EXPERIMENT: Throw a single die. Sample Space S = {1,2,3,4,5,6} An event is a subset of the sample space Ex: throw an even number E = {2,4,6} The probability of an event P(E) = n(E)/n(S) = 3/6 = 1/2

20. Select a card from a deck of 52 cards. What is the probability that it is: 1.)an ace 2.)the jack of clubs 3.)not a queen 4.)the king of stars 5.)a heart, diamond, club or spade

21. A dartboard has the shape shown. What is P(7) ? 2 3 4 7 15 6

22. Prof. Smith’s grades for a course in College Algebra over three years are: A = 40 B = 180 C = 250 D = 90 F = 60 If Jane takes his course, what is the probability that she will get a C or better?

23. Odds in favor of an event = P(success) / P(failure) = P(it happens) / P(it doesn’t happen) Ex. A coin is weighted so that P(heads) = 2/3. What are the odds of getting heads?

24. What are the odds of rolling a 4 with a fair die?

25. The probability of rain today is.35. What are the odds in favor of rain today?

26. Expected Value

27. The average result that would be obtained if an experiment were repeated many times. Suppose you have as possible outcomes of the experiment events A 1, A 2, A 3 with probabilities P 1, P 2, P 3 Expected Value = P 1 * A 1 + P 2 *A 2 + P 3 * A 3

28. An investment club is considering buying a certain stock. Research shows that there is a 60% chance of making $10,000, a 10% chance of breaking even, and a 30% chance of losing $7200. Determine the expected value of this purchase.

29. Game: Blindfolded, throw a dart. What is the expectation? $5 $1 $10 $20 $50