Intro a probability (4/6)

download Intro a probability (4/6)

of 48

Transcript of Intro a probability (4/6)

  • 7/30/2019 Intro a probability (4/6)

    1/48

    How to get started on a solution?

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 1 / 7

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    2/48

    How to get started on a solution?

    There is no Magic Method, and very little plug and chug.

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 1 / 7

    http://find/http://goback/
  • 7/30/2019 Intro a probability (4/6)

    3/48

    How to get started on a solution?

    There is no Magic Method, and very little plug and chug.

    Each problem requires its own combination of the two main rules.

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 1 / 7

    http://find/http://goback/
  • 7/30/2019 Intro a probability (4/6)

    4/48

    How to get started on a solution?

    There is no Magic Method, and very little plug and chug.

    Each problem requires its own combination of the two main rules.

    No matter what method you use, its going to be important to

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 1 / 7

    http://find/http://goback/
  • 7/30/2019 Intro a probability (4/6)

    5/48

    How to get started on a solution?

    There is no Magic Method, and very little plug and chug.

    Each problem requires its own combination of the two main rules.

    No matter what method you use, its going to be important to be precise in your use of terminology and notation

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 1 / 7

    http://find/http://goback/
  • 7/30/2019 Intro a probability (4/6)

    6/48

    How to get started on a solution?

    There is no Magic Method, and very little plug and chug.

    Each problem requires its own combination of the two main rules.

    No matter what method you use, its going to be important to be precise in your use of terminology and notation

    pay attention to detail

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 1 / 7

    http://goforward/http://find/http://goback/
  • 7/30/2019 Intro a probability (4/6)

    7/48

    How to get started on a solution?

    There is no Magic Method, and very little plug and chug.

    Each problem requires its own combination of the two main rules.

    No matter what method you use, its going to be important to be precise in your use of terminology and notation

    pay attention to detail

    avoid rushing to conclusions

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 1 / 7

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    8/48

    How to get started on a solution?

    There is no Magic Method, and very little plug and chug.

    Each problem requires its own combination of the two main rules.

    No matter what method you use, its going to be important to be precise in your use of terminology and notation

    pay attention to detail

    avoid rushing to conclusions

    Here are a few efficient ways to approach problems.

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 1 / 7

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    9/48

    Count the number of trials

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 2 / 7

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    10/48

    Count the number of trials

    trial: one stage of a process that involves randomness

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 2 / 7

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    11/48

    Count the number of trials

    trial: one stage of a process that involves randomness

    One trial

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 2 / 7

    http://find/http://goback/
  • 7/30/2019 Intro a probability (4/6)

    12/48

    Count the number of trials

    trial: one stage of a process that involves randomness

    One trial

    If you have the list of all possible outcomes, try just counting how manyof those outcomes satisfy the conditions of the event.

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 2 / 7

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    13/48

    Count the number of trials

    trial: one stage of a process that involves randomness

    One trial

    If you have the list of all possible outcomes, try just counting how manyof those outcomes satisfy the conditions of the event.

    Example 1. A random number generator picks at random from the tendigits 0, 1, 2, 3, 4, 5, 6, 7, 8, and 9. Find the chance that the digit it picksis prime and greater than 5.

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 2 / 7

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    14/48

    Count the number of trials

    trial: one stage of a process that involves randomness

    One trial

    If you have the list of all possible outcomes, try just counting how manyof those outcomes satisfy the conditions of the event.

    Example 1. A random number generator picks at random from the tendigits 0, 1, 2, 3, 4, 5, 6, 7, 8, and 9. Find the chance that the digit it picksis prime and greater than 5.

    Solution. Only one outcome works: the digit 7. Answer = 1/10

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 2 / 7

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    15/48

    One trial: summarized data

    One trial (continued) If you dont have the whole list but just summaries of it, the rules willhelp. Drawing Venn diagrams helps too.

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 3 / 7

    http://goforward/http://find/http://goback/
  • 7/30/2019 Intro a probability (4/6)

    16/48

    One trial: summarized data

    One trial (continued) If you dont have the whole list but just summaries of it, the rules willhelp. Drawing Venn diagrams helps too.

    Example 2. In a class, 15% of the students have read Hamlet and 40%

    have read The Merchant of Venice; 5% of the students have read both.What is the chance that a student picked at random has read one of theplays but not the other?

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 3 / 7

    http://goforward/http://find/http://goback/
  • 7/30/2019 Intro a probability (4/6)

    17/48

    One trial: summarized data

    One trial (continued) If you dont have the whole list but just summaries of it, the rules willhelp. Drawing Venn diagrams helps too.

    Example 2. In a class, 15% of the students have read Hamlet and 40%

    have read The Merchant of Venice; 5% of the students have read both.What is the chance that a student picked at random has read one of theplays but not the other?

    Solution. List the ways. That is, partition the event into its componentpieces.

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 3 / 7

    http://goforward/http://find/http://goback/
  • 7/30/2019 Intro a probability (4/6)

    18/48

    One trial: summarized data

    One trial (continued) If you dont have the whole list but just summaries of it, the rules willhelp. Drawing Venn diagrams helps too.

    Example 2. In a class, 15% of the students have read Hamlet and 40%

    have read The Merchant of Venice; 5% of the students have read both.What is the chance that a student picked at random has read one of theplays but not the other?

    Solution. List the ways. That is, partition the event into its componentpieces.

    A: Hamlet but not Merchant of Venice: 10%B: Merchant of Venice but not Hamlet: 35%

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 3 / 7

    http://goforward/http://find/http://goback/
  • 7/30/2019 Intro a probability (4/6)

    19/48

    One trial: summarized data

    One trial (continued) If you dont have the whole list but just summaries of it, the rules willhelp. Drawing Venn diagrams helps too.

    Example 2. In a class, 15% of the students have read Hamlet and 40%

    have read The Merchant of Venice; 5% of the students have read both.What is the chance that a student picked at random has read one of theplays but not the other?

    Solution. List the ways. That is, partition the event into its componentpieces.

    A: Hamlet but not Merchant of Venice: 10%B: Merchant of Venice but not Hamlet: 35%

    Add these up. Answer: 45%.

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 3 / 7

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    20/48

    Two trials: table of outcomes

    Two trials, modest number of outcomes

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 4 / 7

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    21/48

    Two trials: table of outcomes

    Two trials, modest number of outcomes Draw a table of all possible outcomes.

    Example 3. In my pocket I have a quarter, two dimes, and a nickel. If Ipull out two coins at random (without replacement), what is the chancethat I pull out more than 15 cents?

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 4 / 7

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    22/48

    Two trials: table of outcomes

    Two trials, modest number of outcomes Draw a table of all possible outcomes.

    Example 3. In my pocket I have a quarter, two dimes, and a nickel. If Ipull out two coins at random (without replacement), what is the chancethat I pull out more than 15 cents?

    Solution.

    Coin ICoin II Q D1 D2 N

    Q

    D1 D2

    N

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 4 / 7

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    23/48

    Two trials: table of outcomes

    Two trials, modest number of outcomes Draw a table of all possible outcomes.

    Example 3. In my pocket I have a quarter, two dimes, and a nickel. If Ipull out two coins at random (without replacement), what is the chancethat I pull out more than 15 cents?

    Solution.

    Coin ICoin II Q D1 D2 N

    Q

    D1 D2

    N

    8 out of 12 equally likely cells. Answer 8/12 = 2/3

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 4 / 7

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    24/48

    The crucial first trial

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 5 / 7

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    25/48

    The crucial first trial

    More than two trials,

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 5 / 7

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    26/48

    The crucial first trial

    More than two trials, or just two trials but each with many outcomes

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 5 / 7

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    27/48

    The crucial first trial

    More than two trials, or just two trials but each with many outcomes

    Ask, What does the first trial have to be?

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 5 / 7

    http://find/http://goback/
  • 7/30/2019 Intro a probability (4/6)

    28/48

    The crucial first trial

    More than two trials, or just two trials but each with many outcomes

    Ask, What does the first trial have to be?If you have a clear answer, youre on your way to a solution.

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 5 / 7

    fi

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    29/48

    The crucial first trial

    More than two trials, or just two trials but each with many outcomes

    Ask, What does the first trial have to be?If you have a clear answer, youre on your way to a solution.

    Example 4. A die has six equally likely faces. The faces show 1, 2, 3, 4,5, and 6 spots respectively. The die is rolled 5 times. Find the chance thatnone of the rolls shows a multiple of 3 spots.

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 5 / 7

    Th i l fi i l

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    30/48

    The crucial first trial

    More than two trials, or just two trials but each with many outcomes

    Ask, What does the first trial have to be?If you have a clear answer, youre on your way to a solution.

    Example 4. A die has six equally likely faces. The faces show 1, 2, 3, 4,5, and 6 spots respectively. The die is rolled 5 times. Find the chance thatnone of the rolls shows a multiple of 3 spots.

    Solution. The first roll has to show 1, 2, 4, or 5 spots.

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 5 / 7

    Th i l fi i l

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    31/48

    The crucial first trial

    More than two trials, or just two trials but each with many outcomes

    Ask, What does the first trial have to be?If you have a clear answer, youre on your way to a solution.

    Example 4. A die has six equally likely faces. The faces show 1, 2, 3, 4,5, and 6 spots respectively. The die is rolled 5 times. Find the chance thatnone of the rolls shows a multiple of 3 spots.

    Solution. The first roll has to show 1, 2, 4, or 5 spots. So does the

    second; so does the third; and so on.

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 5 / 7

    Th i l fi t t i l

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    32/48

    The crucial first trial

    More than two trials, or just two trials but each with many outcomes

    Ask, What does the first trial have to be?If you have a clear answer, youre on your way to a solution.

    Example 4. A die has six equally likely faces. The faces show 1, 2, 3, 4,5, and 6 spots respectively. The die is rolled 5 times. Find the chance thatnone of the rolls shows a multiple of 3 spots.

    Solution. The first roll has to show 1, 2, 4, or 5 spots. So does the

    second; so does the third; and so on.(4/6)

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 5 / 7

    Th i l fi t t i l

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    33/48

    The crucial first trial

    More than two trials, or just two trials but each with many outcomes

    Ask, What does the first trial have to be?If you have a clear answer, youre on your way to a solution.

    Example 4. A die has six equally likely faces. The faces show 1, 2, 3, 4,5, and 6 spots respectively. The die is rolled 5 times. Find the chance thatnone of the rolls shows a multiple of 3 spots.

    Solution. The first roll has to show 1, 2, 4, or 5 spots. So does the

    second; so does the third; and so on.(4/6)

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 5 / 7

    Th i l fi st t i l

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    34/48

    The crucial first trial

    More than two trials, or just two trials but each with many outcomes

    Ask, What does the first trial have to be?If you have a clear answer, youre on your way to a solution.

    Example 4. A die has six equally likely faces. The faces show 1, 2, 3, 4,5, and 6 spots respectively. The die is rolled 5 times. Find the chance thatnone of the rolls shows a multiple of 3 spots.

    Solution. The first roll has to show 1, 2, 4, or 5 spots. So does the

    second; so does the third; and so on.(4/6) (4/6) (4/6) (4/6) (4/6) = (4/6)5 = 13.17%

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 5 / 7

    When its not clear what the first trial must be

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    35/48

    When it s not clear what the first trial must be

    Example 5. A drawer contains 10 red socks and 10 blue socks. I pull outtwo socks at random without replacement. What is the chance they are ofthe same color?

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 6 / 7

    When its not clear what the first trial must be

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    36/48

    When it s not clear what the first trial must be

    Example 5. A drawer contains 10 red socks and 10 blue socks. I pull outtwo socks at random without replacement. What is the chance they are ofthe same color?

    Solution. Theres no restriction on the first sock.

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 6 / 7

    When its not clear what the first trial must be

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    37/48

    When it s not clear what the first trial must be

    Example 5. A drawer contains 10 red socks and 10 blue socks. I pull outtwo socks at random without replacement. What is the chance they are ofthe same color?

    Solution. Theres no restriction on the first sock. No matter what thecolor of the first sock, the chance that the second one has the same color

    is 9/19.

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 6 / 7

    When its not clear what the first trial must be

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    38/48

    When it s not clear what the first trial must be

    Example 5. A drawer contains 10 red socks and 10 blue socks. I pull outtwo socks at random without replacement. What is the chance they are ofthe same color?

    Solution. Theres no restriction on the first sock. No matter what thecolor of the first sock, the chance that the second one has the same color

    is 9/19. Answer: (20/20) (9/19) = 9/19 = 47.37%

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 6 / 7

    When its not clear what the first trial must be

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    39/48

    When it s not clear what the first trial must be

    Example 5. A drawer contains 10 red socks and 10 blue socks. I pull outtwo socks at random without replacement. What is the chance they are ofthe same color?

    Solution. Theres no restriction on the first sock. No matter what thecolor of the first sock, the chance that the second one has the same color

    is 9/19. Answer: (20/20) (9/19) = 9/19 = 47.37%

    Example 6. Repeat Example 5, if the drawer has 4 red socks and 16 bluesocks.

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 6 / 7

    When its not clear what the first trial must be

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    40/48

    When it s not clear what the first trial must be

    Example 5. A drawer contains 10 red socks and 10 blue socks. I pull outtwo socks at random without replacement. What is the chance they are ofthe same color?

    Solution. Theres no restriction on the first sock. No matter what thecolor of the first sock, the chance that the second one has the same color

    is 9/19. Answer: (20/20) (9/19) = 9/19 = 47.37%

    Example 6. Repeat Example 5, if the drawer has 4 red socks and 16 bluesocks.

    Solution. List the ways.

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 6 / 7

    When its not clear what the first trial must be

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    41/48

    When it s not clear what the first trial must be

    Example 5. A drawer contains 10 red socks and 10 blue socks. I pull outtwo socks at random without replacement. What is the chance they are ofthe same color?

    Solution. Theres no restriction on the first sock. No matter what thecolor of the first sock, the chance that the second one has the same color

    is 9/19. Answer: (20/20) (9/19) = 9/19 = 47.37%

    Example 6. Repeat Example 5, if the drawer has 4 red socks and 16 bluesocks.

    Solution. List the ways.RR: (4/20) (3/19) = 0.0316BB: (16/20) (15/19) = 0.6316

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 6 / 7

    When its not clear what the first trial must be

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    42/48

    When it s not clear what the first trial must be

    Example 5. A drawer contains 10 red socks and 10 blue socks. I pull outtwo socks at random without replacement. What is the chance they are ofthe same color?

    Solution. Theres no restriction on the first sock. No matter what thecolor of the first sock, the chance that the second one has the same color

    is 9/19. Answer: (20/20) (9/19) = 9/19 = 47.37%

    Example 6. Repeat Example 5, if the drawer has 4 red socks and 16 bluesocks.

    Solution. List the ways.RR: (4/20) (3/19) = 0.0316BB: (16/20) (15/19) = 0.6316

    Add these up. Answer: 66.32%

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 6 / 7

    at least one

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    43/48

    at least one

    When its not clear what the first trial must be (continued)

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 7 / 7

    at least one

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    44/48

    t t

    When its not clear what the first trial must be (continued)

    Example 7. A poker hand (5 cards) is dealt from a well shuffled deck.What is the chance that there is at least one ace in the hand?

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 7 / 7

    at least one

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    45/48

    When its not clear what the first trial must be (continued)

    Example 7. A poker hand (5 cards) is dealt from a well shuffled deck.What is the chance that there is at least one ace in the hand?

    Solution. complement of at least one:

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 7 / 7

    at least one

    http://find/http://goback/
  • 7/30/2019 Intro a probability (4/6)

    46/48

    When its not clear what the first trial must be (continued)

    Example 7. A poker hand (5 cards) is dealt from a well shuffled deck.What is the chance that there is at least one ace in the hand?

    Solution. complement of at least one: none

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 7 / 7

    at least one

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    47/48

    When its not clear what the first trial must be (continued)

    Example 7. A poker hand (5 cards) is dealt from a well shuffled deck.What is the chance that there is at least one ace in the hand?

    Solution. complement of at least one: none

    P(at least one ace)

    = 1 P(no aces)

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 7 / 7

    at least one

    http://find/
  • 7/30/2019 Intro a probability (4/6)

    48/48

    When its not clear what the first trial must be (continued)

    Example 7. A poker hand (5 cards) is dealt from a well shuffled deck.What is the chance that there is at least one ace in the hand?

    Solution. complement of at least one: none

    P(at least one ace)

    = 1 P(no aces)

    = 1 (48/52) (47/51) (46/50) (45/49) (44/48)

    = 34.11%

    Ani Adhikari and Philip Stark Statistics 2.2X Lecture 1.4 7 / 7

    http://find/