Chapter 14: Fundamentals of Probability Objective: To understand and apply the basic probability...

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Chapter 14: Fundamentals of Probability Objective : To understand and apply the basic probability rules and theorems CHS Statistics

Transcript of Chapter 14: Fundamentals of Probability Objective: To understand and apply the basic probability...

Page 1: Chapter 14: Fundamentals of Probability Objective: To understand and apply the basic probability rules and theorems CHS Statistics.

Chapter 14: Fundamentals of Probability

Objective: To understand and apply the basic probability rules and theorems

CHS Statistics

Page 2: Chapter 14: Fundamentals of Probability Objective: To understand and apply the basic probability rules and theorems CHS Statistics.

Inferential Statistics

• Inferential statistics involve making predictions about a population, given a sample. In probability we use population information to infer the probability.

Page 3: Chapter 14: Fundamentals of Probability Objective: To understand and apply the basic probability rules and theorems CHS Statistics.

Key Definitions

• Theoretical Probability – what the probability should be

• Ex) The probability of flipping a coin and getting a tails should always be ½ or 0.5.

• Experimental Probability – the actual probability found after an experiment

• Ex) You got 6 tails after flipping a coin 8 times, so your experimental probability is 6/8 or 0.75.

Page 4: Chapter 14: Fundamentals of Probability Objective: To understand and apply the basic probability rules and theorems CHS Statistics.

Key Definitions (continued)• Event – a trial of an experiment

• Often notes as P(A) – “the probability of Event A”• Ex) flipping a coin

• Outcome – result of a single trial• Ex) not getting tails

• Simple event – an outcome or event that cannot be further broken down into simpler components.• Ex) The outcome of ‘5’ after rolling one die.• Ex) The outcome of ‘8’ as the sum of rolling two dice

is not a simple event, because there are various ways to get 8 (4-4, 5-3, 2-6).

Page 5: Chapter 14: Fundamentals of Probability Objective: To understand and apply the basic probability rules and theorems CHS Statistics.

Key Definitions (continued)

• Sample Space – the set of all possible simple event outcomes

• Ex) The sample space for flipping a coin is: {H, T}

• Ex) The sample space for rolling a die is:

• Ex) The sample space for flipping two coins is:

Page 6: Chapter 14: Fundamentals of Probability Objective: To understand and apply the basic probability rules and theorems CHS Statistics.

Notation for Probabilities• P denotes a ______________.

• A, B, C, etc. denote ________________.

• P(A) denotes _________________________________.

Page 7: Chapter 14: Fundamentals of Probability Objective: To understand and apply the basic probability rules and theorems CHS Statistics.

Calculating Probabilities

• Example of an event that will never occur:

 

• Example of an event that will always occur:

Page 8: Chapter 14: Fundamentals of Probability Objective: To understand and apply the basic probability rules and theorems CHS Statistics.

Law of Large Numbers

• The more an experiment is repeated, the closer the experimental probability will get to the theoretical probability.

• Virtual Representation of Law of Large Numbers

Page 9: Chapter 14: Fundamentals of Probability Objective: To understand and apply the basic probability rules and theorems CHS Statistics.

Basic Probability Examples:

1) On an SAT and ACT test, a typical multiple choice question has 5 possible answers. If you make a random guess on one such question, what is the probability that your response is wrong?

2) Consider the SAT and ACT test again, but now consider that a 1/5 point penalty is assessed for incorrect answers and 1 point is assessed for correct answers. You are not penalized for skipping questions. If there are 5 answers to choose from and 20 questions, should you guess?

Page 10: Chapter 14: Fundamentals of Probability Objective: To understand and apply the basic probability rules and theorems CHS Statistics.

Basic Probability Examples (continued):

3) A couple has 3 children. Find the probability that:

 

 • they will have exactly 2 boys

 • they will have at least 1 boy

 • they will have no boys

 

Page 11: Chapter 14: Fundamentals of Probability Objective: To understand and apply the basic probability rules and theorems CHS Statistics.

Complementary Events

• The complement of event A, denoted by , consists of all outcomes in which event A does not occur.

P() = 1 – P(A)

• Example: The General Motors Corporation wants to conduct tests of a new model of the Corvette. A pool of 50 drivers has been recruited, 20 of whom are men. When the first person is selected from this pool, what is the probability of not getting a male driver?

Page 12: Chapter 14: Fundamentals of Probability Objective: To understand and apply the basic probability rules and theorems CHS Statistics.

Fundamental Counting Principle

• If one event occurs m ways and a second event occurs n ways, the number of events that both events can occur is (m)(n)

• Example: The access code for a car’s security system consists of four digits. How many codes are possible if:• Each code can be used only once and not repeated?

• Each digit can be repeated?•  

• Each digit can be repeated but the first digit cannot be 0 or 1?

Page 13: Chapter 14: Fundamentals of Probability Objective: To understand and apply the basic probability rules and theorems CHS Statistics.

Odds

• Odds Against – The actual odds against event A are the ratio P() : P(A) in reduced form.

• Odds in Favor – The actual odds in favor of event A are the reciprocal of the odds against that event, P(A) : P() in reduced form.

• Payoff odds – The payoff odds against A represent the ratio of the net profit (if you win) to the amount bet.

Payoff odds against event A = (net profit) : (amount bet)

Page 14: Chapter 14: Fundamentals of Probability Objective: To understand and apply the basic probability rules and theorems CHS Statistics.

Odds Examples

• What are the odds against rolling a 5 when a single die is rolled?

 

 

 

Page 15: Chapter 14: Fundamentals of Probability Objective: To understand and apply the basic probability rules and theorems CHS Statistics.

Odds Examples (continued)If you bet $5 on the number 13 in roulette, your probability of winning is 1/38 and the payoff odds are given by the casino 35:1.• Find the actual odds against the outcome of 13.

 

 • How much net profit would you make if you win by betting 13?

 

 • If the casino were operating just for fun of it, and the payoffs odds were

changed to match the actual odds against 13, how much would you win if the outcome were 13?

 

 

 

Page 16: Chapter 14: Fundamentals of Probability Objective: To understand and apply the basic probability rules and theorems CHS Statistics.

Assignment:

• Chapter 14 Practice