1. Probability. ·. fraction that tells. how likely something. `
Probability ·  fraction that tells how likely something ` is to happen ·   the relative frequency that an event will occur

2. ·. Notation:. P(x) means the. probability of event “x”
·   Notation: P(x) means the probability of event “x”. So P(heads) could mean the probability of getting heads when flipping a coin.

3. · Probability is always a fraction between 0 & 1

4. ·. If P(x) = 0, then the event. is impossible (can’t ever. happen). ·
·   If P(x) = 0, then the event is impossible (can’t ever happen). · If P(x) = 1, then the event is certain (must always happen).

8. Probability can also be. expressed as a percent
Probability can also be expressed as a percent (which is officially called chance) ·    Chance must always be between 0% and 100%.

9. Basic rule for finding probability:
Basic rule for finding probability: Desirable Outcomes P(x) = Total Outcomes

10. Ways to get what you want P(x) = ------------------------------- Ways to get anything   P(x) = x/n

11. EXAMPLE: One version of the Magic 8-Ball has 20 different responses … 9 “yes” 8 “no” 3 unresponsive

12. If you ask the Magic 8-Ball a question, what is the probability the answer is equivalent to “yes”?

13. 9 “yes” 8 “no” 3 unresponsive So 9/20 or .45

14. EXAMPLE: In a standard deck there are 52 cards
EXAMPLE: In a standard deck there are 52 cards. If you pick a card at random, what is the probability …

15. * It is a king? * It is a spade? * It is the queen of hearts?

16. It is a king. 4/52 or 1/13. It is a spade. 13/52 or ¼
* It is a king? 4/52 or 1/13 * It is a spade? 13/52 or ¼ * It is the queen of hearts? 1/52

17. EXAMPLE: When you flip a coin, what is the probability you get “heads”?

18. EXAMPLE: When you flip a coin, what is the probability you get “heads”
EXAMPLE: When you flip a coin, what is the probability you get “heads”? ½ or .5 or 50%

19. Theoretical Probability ·. Mathematical prediction of
Theoretical Probability · Mathematical prediction of what the probability should be · Never changes

20. Empirical Probability ·. a. k. a. “Experimental. Probability” or
Empirical Probability · a.k.a. “Experimental Probability” or “Experiential Probability” · Actual relative frequency, based on past experience

21. Can change with. circumstances ·. Rarely exactly equals the
Can change with circumstances · Rarely exactly equals the theoretical probability.

22. THEORETICAL what it should be EMPIRICAL what you actually got

23. Law of Large Numbers ·. If an event happens over. and over again, the
Law of Large Numbers · If an event happens over and over again, the empirical probability will approach the theoretical probability

24. Law of Large Numbers

25. Sample Space · All the possible outcomes for an event

26. Examples: The sample space for rolling a die is { 1, 2, 3, 4, 5, 6 } The sample space for letter grades on a test is { A, B, C, D, F }

27. The sum of all the. probabilities in a sample. space must equal 1
The sum of all the probabilities in a sample space must equal 1 (because there is a 100% chance that something will happen). · So, Σ P(x) = 1

28. Complement ·. “everything but” ·. all the events in the
Complement · “everything but” · all the events in the sample space except the one in question · NOT some event

29. Notation: X’ (X-prime). or ~X (tilde-X) ·. P(x’) means the probability
Notation: X’ (X-prime) or ~X (tilde-X) · P(x’) means the probability that an event won’t happen

30. · P(x’) = 1 – P(x) · So if P(x) = ¼, then P(x’) = ¾.

31. EXAMPLE: One version of the Magic 8-Ball has 20 different responses … 9 “yes” 8 “no” 3 unresponsive

32. If you ask the Magic 8-Ball a question, what is the probability the answer is NOT “no”?

33. 9 “yes” 8 “no” 3 unresponsive (1 – 8/20) = 12/20 = .6

34. EXAMPLE: If you draw a card out of a deck of cards, what is the probability it is NOT a diamond?

35. EXAMPLE: If you draw a card out of a deck of cards, what is the probability it is NOT a diamond? 1 – 13/52 = 39/52 or 3/4

36. EXAMPLE: In a poll conducted shortly after his inauguration, 45% of Americans said they supported President Trump. What percent did not support him?

37. EXAMPLE: In a poll conducted shortly after his inauguration, 45% of Americans said they supported President Trump. What percent did not support him? – 45 = 55%

38. Fundamental Principle of Counting ·. If one event can happen in
Fundamental Principle of Counting · If one event can happen in “x” ways and another event can happen in “y” ways, then the 2 events can happen together in x•y ways.

39. ·. When more than one thing. happens at once, multiply
· When more than one thing happens at once, multiply to find the total possible outcomes.

40. EXAMPLE If you roll two dice, how many ways could they land?

41. 6 x 6 = 36

42. EXAMPLE You draw a card from a deck of cards, put it aside, and draw another card. How many ways can you do this?

43. 52 x 51 = 2652

44. EXAMPLE As of 2013, most Iowa license plates have the format “ABC 123”
EXAMPLE As of 2013, most Iowa license plates have the format “ABC 123”. How many plates are possible with this format?

45. 26 x 26 x 26 x 10 x 10 x ,576,000

46. Mutually Exclusive · 2 things that can’t happen at the same time

47. Independent. ·. 2 events where the. occurrence of one
Independent · 2 events where the occurrence of one does not affect the occurrence of the other

48. Compound Probability AND and OR

49. AND P(A and B) = P(A)•P(B|A) ·. P(B|A) means the
AND P(A and B) = P(A)•P(B|A) ·  P(B|A) means the probability that B will occur, given that A has already occurred.

50. ·. P(B|A) is read “the. probability of B, given A” ·
·  P(B|A) is read “the probability of B, given A” ·   You multiply probabilities in and problems.

51. If events are independent, then P(A and B) = P(A)•P(B) ·
If events are independent, then P(A and B) = P(A)•P(B) ·   because, since A and B have no effect on each other P(B|A) = P(B).

52. OR P(A or B) = P(A) + P(B) – P(A and B)

53. ·. Probability of 1st. PLUS ·. Probability of 2nd. MINUS ·
·  Probability of 1st          PLUS ·   Probability of 2nd MINUS ·   Probability BOTH will happen together

54. If events are mutually exclusive then. P(A or B) = P(A) + P(B). ·
If events are mutually exclusive then P(A or B) = P(A) + P(B) ·   because since A and B can’t happen together, P(A and B) = 0

55. Remember … In probability and means times or means plus

56. Combinations & Permutations ·. Both involve. choosing a
Combinations & Permutations ·   Both involve choosing a small group out of a larger group

57. ·. COMBINATIONS—it. doesn’t matter what order. you choose things in ·
·   COMBINATIONS—it doesn’t matter what order you choose things in ·   PERMUTATIONS—the order matters

59. ·. Notation:. ·. nPr stands for. permutations. · nCr stands for
·   Notation: ·  nPr stands for permutations ·     nCr stands for combinations

60. Example: 9 people are running a race How many ways could you give out gold, silver, and bronze medals?

61. This is a PERMUTATIONS problem. The problem is 9 nPr 3.

62. Example: How many 5-card poker hands are possible when you use a 52-card deck?

63. This is a COMBINATIONS problem. The problem is 52 nCr 5.

64. On a graphing calculator, ·. Put the big number on the. screen. ·
On a graphing calculator, · Put the big number on the screen. · Select the MATH menu. · Select PRB for “PROBABILITY”.

65. Select either nCr or nPr. ·. Hit ENTER. ·. Put the small number on
Select either nCr or nPr. · Hit ENTER. · Put the small number on the screen. · Hit ENTER again.