Examples for Review of Basic Probability - Part 1

Events and Sample Spaces

  • Suppose we roll two fair, indistinguishable, dice.

    • What is the sample space?

    • Does order matter for the experiment? Why or why not?

    • Let event \(A\) be rolling doubles. What are the outcomes that belong to event \(A\)?

    • Let event \(B\) be rolling at least one odd number. What are the outcomes that belong to event \(B\)?

  • Table of possible outcomes when rolling two fair, indistinguishable dice:

(1, 1) (1, 2) (1, 3) (1, 4) (1, 5) (1, 6)
(2, 1) (2, 2) (2, 3) (2, 4) (2, 5) (2, 6)
(3, 1) (3, 2) (3, 3) (3, 4) (3, 5) (3, 6)
(4, 1) (4, 2) (4, 3) (4, 4) (4, 5) (4, 6)
(5, 1) (5, 2) (5, 3) (5, 4) (5, 5) (5, 6)
(6, 1) (6, 2) (6, 3) (6, 4) (6, 5) (6, 6)
  • Consider the word TENNESSEE. Suppose we were to randomly select a letter.

    • What is the sample space?

    • What is \(P(T)\)?

    • What is \(P(E)\)?

    • What is \(P(N)\)?

    • What is \(P(S)\)?

  • Set up: split class into various groups.

  • Suppose we roll two indistinguishable fair dice. We are interested in the sum of the numbers on the two dice.

    • What does the sample space become?

    • Does order matter for the experiment? Why or why not?

    • Let event \(A\) be rolling an even sum. What are the outcomes that belong to event \(A\)?

      • What is \(P(A)\)?
    • Let event \(B\) be rolling a sum that is a prime number. What are the outcomes that belong to event \(B\)?

      • What is \(P(B)\)?
    • Assign each group an event and have them find the probabilities.

      • \(C\): roll a sum that is an odd sum (bonus: complement rule early :))

      • \(D\): roll a sum that is (strictly) less than 5.

      • \(E\): roll an even sum that is 9 or greater.

      • etc.

    • Have one member of each group present the set of outcomes belonging to the event.

    • Have another member present how to find the probability.

  • Table of possible outcomes:

(1, 1) = 2 (1, 2) = 3 (1, 3) = 4 (1, 4) = 5 (1, 5) = 6 (1, 6) = 7
(2, 1) = 3 (2, 2) = 4 (2, 3) = 5 (2, 4) = 6 (2, 5) = 7 (2, 6) = 8
(3, 1) = 4 (3, 2) = 5 (3, 3) = 6 (3, 4) = 7 (3, 5) = 8 (3, 6) = 9
(4, 1) = 5 (4, 2) = 6 (4, 3) = 7 (4, 4) = 8 (4, 5) = 9 (4, 6) = 10
(5, 1) = 6 (5, 2) = 7 (5, 3) = 8 (5, 4) = 9 (5, 5) = 10 (5, 6) = 11
(6, 1) = 7 (6, 2) = 8 (6, 3) = 9 (6, 4) = 10 (6, 5) = 11 (6, 6) = 12

Addition Rule for Mutually Exclusive Events

  • Suppose a single card is drawn from a standard 52-card deck.

    • What is the sample space?
  • Suppose event \(A\) is drawing a face card (J, Q, K).

    • What is \(P(A)\)?
  • Suppose event \(B\) is drawing a black, even card.

    • What is \(P(B)\)?
  • Are \(A\) and \(B\) mutually exclusive events? Why or why not?

    • What is \(P(A \cup B)\)?

Table of card deck:

Clubs: A 2 3 4 5 6 7 8 9 10 J Q K
Spades: A 2 3 4 5 6 7 8 9 10 J Q K
Diamonds: A 2 3 4 5 6 7 8 9 10 J Q K
Hearts: A 2 3 4 5 6 7 8 9 10 J Q K
  • Suppose we toss three coins.

    • What is the sample space?
  • Let event \(A\) be flipping at least two tails.

    • What is \(P(A)\)?
  • Let event \(B\) be flipping no tails.

    • What is \(P(B)\)?
  • Let event \(C\) be flipping no heads.

    • What is \(P(C)\)?
  • Are the following events mutually exclusive? Why or why not?

    • \(A\) and \(B\)

    • \(A\) and \(C\)

    • \(B\) and \(C\)

Sample Space:

HHH
HHT HTH THH
HTT THT TTH
TTT
  • Set up: split class into various groups.

  • Suppose we are rolling two dice: one red, one blue.

  • Assign each group an event and have them find the probabilities:

    • \(A\): Rolling a red 2.

    • \(B\): Rolling a blue 5.

    • \(C\): Rolling a red odd.

    • \(D\): Rolling a sum that is odd.

    • \(E\): Rolling a sum that is even.

    • etc.

  • Have groups determine which other groups they are mutually exclusive with.

  • Have groups find other groups they are mutually exclusive with and find \(P(E_1 \cup E_2)\).

Examples for the General Addition Rule

  • The probability of a teenager owning a Playstation is 0.31, of owning a Switch is 0.56 and of owning both is 0.17.

    • What are the events that are defined by the problem?
  • If a teenager is chosen at random, what is the probability that the teenager owns a Playstation or Switch?

    • What is \(P(\text{Playstation})\)?

    • What is \(P(\text{Switch})\)?

    • What is \(P(\text{Playstation} \cap \text{Switch})\)?

    • What is \(P(\text{Playstation} \cup \text{Switch})\)?

  • Suggestion: Venn Diagram

  • There are 100 students taking either STA4173 (Biostatistics) or STA4231 (Statistics for Data Science I). 80 students are taking Biostatistics and 30 students are taking Statistics for Data Science I.

    • What is \(P(\text{Biostatistics})\)?

    • What is \(P(\text{Statistics for Data Science I})\)?

    • What is \(P(\text{Biostatistics} \cap \text{Statistics for Data Science I})\)?

    • What is \(P(\text{Biostatistics} \cup \text{Statistics for Data Science I})\)?

  • Suggestion: Venn Diagram

  • Suppose a single card is drawn from a standard 52-card deck.

    • What is the sample space?
  • Suppose event \(A\) is drawing a face card (J, Q, K).

    • What is \(P(A)\)?
  • Suppose event \(B\) is drawing a red card.

    • What is \(P(B)\)?
  • Are \(A\) and \(B\) mutually exclusive events? Why or why not?

  • What is \(P(A \cup B)\)?

Table of card deck:

Clubs: A 2 3 4 5 6 7 8 9 10 J Q K
Spades: A 2 3 4 5 6 7 8 9 10 J Q K
Diamonds: A 2 3 4 5 6 7 8 9 10 J Q K
Hearts: A 2 3 4 5 6 7 8 9 10 J Q K
  • Set up: split class into various groups.

  • Suppose two cards are drawn without replacement from a standard 52-card deck.

  • Assign each group an event and have them find the corresponding probabilities.

    • \(A\): drawing two even cards

    • \(B\): drawing two face cards

    • \(C\): drawing a red 2 and black 3

    • etc.

  • Have one student from each group present their probabilities.

  • Pair groups together and ask them to find \(P(E_1 \cup E_2)\).

  • Have one student from each paired group present their solution.

Table of card deck:

Clubs: A 2 3 4 5 6 7 8 9 10 J Q K
Spades: A 2 3 4 5 6 7 8 9 10 J Q K
Diamonds: A 2 3 4 5 6 7 8 9 10 J Q K
Hearts: A 2 3 4 5 6 7 8 9 10 J Q K