24
Topic 3 Sets, Logic and Probability Joanna Livinalli and Evelyn Anderson

Topic 3 Sets, Logic and Probability

  • Upload
    duyen

  • View
    66

  • Download
    0

Embed Size (px)

DESCRIPTION

Topic 3 Sets, Logic and Probability . Joanna Livinalli and Evelyn Anderson . IB Course Guide description . Topic 3.1 and 3.3: Set Theory . Topic 3.2: Venn diagrams and sets . Union. Subset . Intersection. Mutually exclusive events . (A  B)’. (A  B)’. A’  B. A’  B. - PowerPoint PPT Presentation

Citation preview

Page 1: Topic 3  Sets, Logic and Probability

Topic 3 Sets, Logic and Probability

Joanna Livinalli and Evelyn Anderson

Page 2: Topic 3  Sets, Logic and Probability

IB Course Guide description

Page 3: Topic 3  Sets, Logic and Probability
Page 4: Topic 3  Sets, Logic and Probability

Topic 3.1 and 3.3: Set Theory

Set Notation

Symbol Definition Means…

U universal set All the elements given in a question

is an element of Is an element or member of the set

is not an element of Is not an element or member of the set

‘ Complement opposite of the set

the empty set an empty set with no members/elements

Intersection An overlap; only the elements in both sets.

Union A marriage; all the elements in each set, including all elements that are in both.

Subset A smaller set contained wholly within a larger set

n(A) Number of elements inside set A

Page 5: Topic 3  Sets, Logic and Probability

Topic 3.2:Venn diagrams and sets

Intersection

Union Subset

Mutually exclusive events

Page 6: Topic 3  Sets, Logic and Probability

(A B)’

A’ B

(A B)’

A’ B

Page 7: Topic 3  Sets, Logic and Probability

Example Problem A group of 40 IB students were surveyed about the languages they have chosen at IB: E = English, F = French, S = Spanish.

• 3 students did not study any of the languages above.• 2 students study all three languages• 8 study English and French• 10 study English and Spanish• 6 study French and Spanish• 13 students study French• 28 students study English

(a) Draw a Venn diagram to illustrate the data above. On your diagram write the number in each set.

(b) How many students study only Spanish?

(c) On your diagram shade (E F)’ , the students who do not study English or French.

Page 8: Topic 3  Sets, Logic and Probability

Check your answers (a)

(b) There 4 students who do Spanish only (c) Shade everything but the union of E and F

(where the 6 is)

Page 9: Topic 3  Sets, Logic and Probability

Topic 3.4 – 3.7 : Logic and truth tables

• Propositions – A statement that can be either true or false. For example, the baby is a girl.

• Negation – A proposition that has become negative: For example, the baby is not Australian. Be careful that it is a negative and not the opposite. The symbol used is ¬.

• Conjunction – the word ‘and’ used to join two conjunctions together. For example, the baby is a girl and Australian. The symbol used is .

p ¬p

T F

F T

p q p qT T T

T F F

F T F

F F F

Page 10: Topic 3  Sets, Logic and Probability

• Disjunction – the word ‘or’ used to join the conjunctions together. For example, the baby is a girl or Australian. The symbol used is .

• Exclusive Disjunction - is true when only one of the propositions is true. The word ‘or’ is used again, but in this case you must write “or, but not both”. The symbol used is

p q p q

T T T

T F T

F T T

F F F

p q p q

T T F

T F T

F T T

F F F

Page 11: Topic 3  Sets, Logic and Probability

• Implication – Using the words if …… then with two propositions. For example: If you do not sleep tonight then you will be tired tomorrow. The symbol used for implication is .

• Equivalence – If two propositions are linked with “…if and only if…”. Then it is an equivalence. p q is the same as p q and q p. Or using notation: (p q) = (p q) (q p)

p q pqT T T

T F F

F T T

F F T

p q pq

T T T

T F F

F T F

F F T

Page 12: Topic 3  Sets, Logic and Probability

p: My shoes are too small q: My feet hurt – Implication: p q. If my shoes are too small,

then my feet hurt. – Converse: q p. If my feet hurt, then my shoes

are too small. – Inverse: p q. If my shoes are not too small,

then my feet do not hurt. – Contrapositive: q p. If my feet do not hurt,

then my shoes are not too small.

Page 13: Topic 3  Sets, Logic and Probability

• Tautology – a statement that produces True (T) throughout the column of the truth table.

Column (?) would be a tautology

• Contradiction – a statement that produces False (F) throughout the column of a truth table.

Column (?) Would be a contradiction

p q ?T T T

T F T

F T T

F F T

p q ?T T F

T F F

F T F

F F F

Page 14: Topic 3  Sets, Logic and Probability

Example Problem

P Q r p q (p q) (p q) rT T T T T F T F T T F F F T T F T F F F T F F F

p: Andrea studies IB English.q: Andrea studies IB Spanish.r: The school offers at least 2 IB languages.

(a) Write the following in logical form. If Andrea studies English and Spanish, then the school offers at least 2 languages.

(b) Write the following statement in words: ¬p ¬q

(c) Copy and complete the truth table below.

(d) Is (p q) r a tautology, contradiction or neither?

Page 15: Topic 3  Sets, Logic and Probability

Check your answers (a) (p q) r

(b) If Andrea does not study English then she will not study Spanish

(c)

(d) Neither a tautology nor a contradiction

p q r p q (p q) (p q) rT T T T F TT T F T F TT F T F T TT F F F T FF T T F T TF T F F T FF F T F T TF F F F T F

Page 16: Topic 3  Sets, Logic and Probability

Probability

Probability ranges between 0 and 1

or

0 and 100%

Page 17: Topic 3  Sets, Logic and Probability

Terminology

• Trials—times experiment is repeated• Outcomes—different possible results• Frequency—the number of times an outcome

is repeated• Relative frequency—the number of times an

outcome is repeated in terms of a fraction or percentage

Page 18: Topic 3  Sets, Logic and Probability

Example Problem

• In assigning 32 assignments, Ms. Boswell has noticed that Maxine has done her homework 12 times.

• Describe the trials, outcomes, frequency, and relative frequency of this situation.

Note: The greater the number of trials, the more reliable the information becomes, and the closer the relative frequency will be as a predictor for future outcomes.

Page 19: Topic 3  Sets, Logic and Probability

3.8 Equally Likely Events

• If the probability of an event A given by P(A)=n(a)/n(U)

• Probability of a complementary event isP(A’)=1-P(A)

• Example: In a coin, there are two possible outcomes—heads or tails. So the probability of it not being tails is equal to 1-(the probability of it being heads, or .5), which is also .5.

Page 20: Topic 3  Sets, Logic and Probability

Venn DiagramsThere are 48 students. 22 watch Dragon Ball Z, 15 watch Pokémon, 20 watch Naruto, and 12 watch none.

5

3

What is the probability of (DUP)’? DUP=(30/48)=(5/8)(DUP)’=1-(5/8) or (3/8)What is the probability that the student watches Dragon Ball Z? (22/48) or (11/22)What is the probability the student watches Pokémon and Naruto, but not Dragon Ball Z? (3/48)What is the probability the student watches Naruto or Pokemon, but not both? ((7+6)+(3+5))/48 or 21/48=(7/16)

Page 21: Topic 3  Sets, Logic and Probability

What is the probability the coin will fall on heads three times in a row? (Tree Diagrams)

Heads (1/2)

Tails (1/2)

Tails (1/2)

Heads (1/2)

Tails (1/2)

Heads (1/2)

(1/2)*(1/2)*(1/2)=(1/8)

Number of possibilities for a particular outcome/Number of total possible outcomes

Page 22: Topic 3  Sets, Logic and Probability

If there are 5 red marbles and 2 blue marbles in a bag, what is the probability that when

picking one out, one will be blue and the other red? (the marbles are not replaced when

removed)

Red (5/7)

Blue (2/7)

Blue (2/6)

Red (4/6)

Blue (1/6)

Red (5/6)

((5/7)*(2/6))+((2/7)+(5/6))=(10/21)

Page 23: Topic 3  Sets, Logic and Probability

Table of Outcomes

• Example: Rolling two pairs of dice

http://www.cimt.plymouth.ac.uk/projects/mepres/book8/bk8i10/bk8_10i3.htm

Page 24: Topic 3  Sets, Logic and Probability

Mutually Exclusive Events

• A situation where only one outcome is possible (i.e., if the coin is heads, it cannot be tails also.)

• A die is tossed. What is the probability the shown is 4?

• What is the probability that it is 4 or 3?• What is the probability that it is 4 and 3?• What is the probability that the dice will roll a 4,

and when tossing a coin at the same time, it will be heads?