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Lecture 1 Sec 1.1-1.4

Lecture 1 Sec 1.1-1.4. Outline Define terms with an example (outcome, sample space, event, an event space) Axioms of probability

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Page 1: Lecture 1 Sec 1.1-1.4. Outline Define terms with an example (outcome, sample space, event, an event space) Axioms of probability

Lecture 1

Sec 1.1-1.4

Page 2: Lecture 1 Sec 1.1-1.4. Outline Define terms with an example (outcome, sample space, event, an event space) Axioms of probability

Outline

• Define terms with an example (outcome, sample space, event, an event space)

• Axioms of probability

Page 3: Lecture 1 Sec 1.1-1.4. Outline Define terms with an example (outcome, sample space, event, an event space) Axioms of probability

Ficticious Experiment

• Experiment: flip a coin three times. Observe the sequence of heads and tails.

– Question: Assuming that the coin is fair, what is the maximum number of heads and tails?

Page 4: Lecture 1 Sec 1.1-1.4. Outline Define terms with an example (outcome, sample space, event, an event space) Axioms of probability

Ficticious Experiment

• Experiment: flip a coin three times. Observe the sequence of heads and tails.

• Results:– hhh– hht– hth– htt– thh– tht– tth– ttt

outcome

sample space

Definition of an outcome: any possible observation of the experiment

Sample space: a set of all possible outcomes.

Page 5: Lecture 1 Sec 1.1-1.4. Outline Define terms with an example (outcome, sample space, event, an event space) Axioms of probability

Another Example

Page 6: Lecture 1 Sec 1.1-1.4. Outline Define terms with an example (outcome, sample space, event, an event space) Axioms of probability

Ficticious Experiment

• Procedure: flip a coin three times. Observe the sequence of heads and tails.

• Results:– hhh– hht– hth– htt– thh– tht– tth– ttt

An event is a set of outcomes with the first flip being a head.

Page 7: Lecture 1 Sec 1.1-1.4. Outline Define terms with an example (outcome, sample space, event, an event space) Axioms of probability

Exercise

• What are the outcomes associated with each event?

Page 8: Lecture 1 Sec 1.1-1.4. Outline Define terms with an example (outcome, sample space, event, an event space) Axioms of probability

Event A and event B

Event A and event B are mutually exclusive.

Page 9: Lecture 1 Sec 1.1-1.4. Outline Define terms with an example (outcome, sample space, event, an event space) Axioms of probability

Event C and Event D

Event C

Event D

Event C and D are not mutually exclusive!

Page 10: Lecture 1 Sec 1.1-1.4. Outline Define terms with an example (outcome, sample space, event, an event space) Axioms of probability

Exercise

• What are the probabilities for event A, B, C and D?

Page 11: Lecture 1 Sec 1.1-1.4. Outline Define terms with an example (outcome, sample space, event, an event space) Axioms of probability

Notation

• In Set theory, a set is a collection of things.

x

B is a set.A is a subset of B, i.e. A

A subset can also be empty. A null set, an empty set has no element. The notation of a null is .

Page 12: Lecture 1 Sec 1.1-1.4. Outline Define terms with an example (outcome, sample space, event, an event space) Axioms of probability

Intersection• The intersection of two sets C and D

is the set of all elements which are contained in both C and D.

Event C

Event D

𝐶∩𝐷

Page 13: Lecture 1 Sec 1.1-1.4. Outline Define terms with an example (outcome, sample space, event, an event space) Axioms of probability

Union• The union of sets C and D is the set

of all elements that are either in C or in D, or in both.

C

Page 14: Lecture 1 Sec 1.1-1.4. Outline Define terms with an example (outcome, sample space, event, an event space) Axioms of probability

Mutually Exclusive

𝐴∩𝐵=𝜙

Page 15: Lecture 1 Sec 1.1-1.4. Outline Define terms with an example (outcome, sample space, event, an event space) Axioms of probability

Quiz

• Monitor three consecutive phone calls going through a telephone switching office. Class each one as a voice call (v) if someone is speaking, or a data (d) if the call is carrying a modem or fax signal. Your observation is a sequence of three letters each letter is either v or d.

• Write down the following events:– First call is a voice call– One or more voice call

Page 16: Lecture 1 Sec 1.1-1.4. Outline Define terms with an example (outcome, sample space, event, an event space) Axioms of probability

Answer

• Write down the following events:– First call is a voice call

A1={vvv,vvd,vdv,vdd}

– One or more voice callA4={vvv,vvd,vdv,dvv,vdd,dvd,ddv}

Page 17: Lecture 1 Sec 1.1-1.4. Outline Define terms with an example (outcome, sample space, event, an event space) Axioms of probability

Telephone Usage

What is the sample space?What is the probability of the sample space?

Page 18: Lecture 1 Sec 1.1-1.4. Outline Define terms with an example (outcome, sample space, event, an event space) Axioms of probability

Telephone Usage

What is the probability associated with the long call?

Page 19: Lecture 1 Sec 1.1-1.4. Outline Define terms with an example (outcome, sample space, event, an event space) Axioms of probability

Telephone Usage

What is the probability associated with the brief callif you know the probability of a long call?