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Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The...

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Introduction to Probability
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Page 1: Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The set of all possible outcomes for an experiment Roll.

Introduction to Probability

Page 2: Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The set of all possible outcomes for an experiment Roll.

5.1 Experiments, Outcomes, Events, and Sample SpacesSample space - The set of all possible outcomes

for an experiment

Roll a die

Flip a coin

Measure heights

}6,5,4,3,2,1{space sample

}TH,{space sample

tallest}ofheight person tosmallest of{height space sample

Page 3: Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The set of all possible outcomes for an experiment Roll.

Some experiments consist of a series of operations. A device called a tree diagram is useful for determining the sample space.

Example: Flip a Penny, Nickel, and a Dime

Event - Any subset of the sample space

An event is said to occur when any outcome in the event occurs

Page 4: Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The set of all possible outcomes for an experiment Roll.

5.2 Assigning Probabilities to EventsThe probability of an event A, denoted , is

the expected proportion of occurrences of A if the experiment were performed a large number of times.

When outcomes are equally likely

Examples: Flip a fair coinRoll a balanced die

)(AP

outcomes ofnumber Total

event tofavorable outcomes ofNumber eventan ofy Probabilit

Page 5: Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The set of all possible outcomes for an experiment Roll.

When probability is based on frequencies

Example:Results of sample

Males (event M) – 40Females (event F) – 60

n size Sample

event ofFrequency eventan ofy Probabilit

Page 6: Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The set of all possible outcomes for an experiment Roll.

5.3 Some Basic Rules of Probability

The closer to 1 a probability the more likely the event

1)(0 AP

1space) sample( P

Page 7: Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The set of all possible outcomes for an experiment Roll.

5.4 Probabilities of Compound EventsThe complement of an event A, denoted or

, is all sample points not in A.

The complement rule:

Joint Probability – an event that has two or more characteristics

)(AP )(AP

)(1)( APAP

Page 8: Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The set of all possible outcomes for an experiment Roll.

The union of two events, denoted , is the event composed of outcomes from A or B. In other words, if A occurs, B occurs, or both A and B occur, then it is said that occurred.

The intersection of two events, denoted , is the event composed of outcomes from A and B. In other words, if both A and B occur, then it is said that occurred.

BA

BA

BA

BA

Page 9: Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The set of all possible outcomes for an experiment Roll.

5.5 Conditional ProbabilitySometimes we wish to know if event A

occurred given that we know that event B occurred. This is known as conditional probability, denoted A|B.

ExampleRoll a balanced green die and a balanced red

dieDenote outcomes by (G,R)

}7 is dice theof sum{A

}4 numbersboth { B

}1 is diegreen {C

Page 10: Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The set of all possible outcomes for an experiment Roll.

Red Die

Green Die1 2 3 4 5 6

1 (1,1) (2,1) (3,1) (4,1) (5,1) (6,1)2 (1,2) (2,2) (3,2) (4,2) (5,2) (6,2)3 (1,3) (2,3) (3,3) (4,3) (5,3) (6,3)4 (1,4) (2,4) (3,4) (4,4) (5,4) (6,4)5 (1,5) (2,5) (3,5) (4,5) (5,5) (6,5)6 (1,6) (2,6) (3,6) (4,6) (5,6) (6,6)

Page 11: Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The set of all possible outcomes for an experiment Roll.

We say the events A and B are mutually exclusive or disjoint if they cannot occur together

The addition rule

The conditional probability of A given B is

0) ( BAP

) ()()() ( BAPBPAPBAP

)(

) ()|(

BP

BAPBAP

Page 12: Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The set of all possible outcomes for an experiment Roll.

Example: Select an individual at random from a population of drivers classified by gender number of traffic tickets

0 tickets 1 ticket 2 tickets 3 or more tickets TotalFemale 1192 321 72 15 1600Male 695 487 141 77 1400Total 1887 808 213 92 3000

}female isdriver selected{A

} tickets2least at hasdriver selected{B

Page 13: Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The set of all possible outcomes for an experiment Roll.

5.6 IndependenceTwo events are said to be independent if the

occurrence (or nonoccurrence) of one does not effect the probability of occurrence of the other.

Events that are not independent are dependent.

)|()( BAPAP

)|()( BAPAP

Page 14: Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The set of all possible outcomes for an experiment Roll.

Example: Draw two cards without replacement

Multiplication rule:

Suppose we return the first card thoroughly shuffle before we draw the second

ace}an is cardfirst {A

}acean is card second{B

)|()() ( ABPAPBAP

Page 15: Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The set of all possible outcomes for an experiment Roll.

ExampleSelect an individual at randomAsk place of residence &Do you favor combining city and county

governmentsFavor (F) Oppose Total

City (C) 80 40 120Outside 20 10 30Total 100 50 150

Page 16: Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The set of all possible outcomes for an experiment Roll.

5.8 Counting TechniquesHow many different ways are there to arrange

the 6 letters in the word SUNDAY?

Suppose you have a lock with a three digit code. Each digit is a number 0 through 9. How many possible codes are there?

Page 17: Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The set of all possible outcomes for an experiment Roll.

The symbol, read as “n factorial” is defined as

and so on

!n

1!0 1!1

212!2 6123!3

241234!4

Page 18: Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The set of all possible outcomes for an experiment Roll.

Evaluate each expression

!2!5

!8!9

!6!2!8

Page 19: Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The set of all possible outcomes for an experiment Roll.

PermutationsOrdered arrangements of distinct objects are called

permutations. (order matters)

If we wish to know the number of r permutations of n distinct objects, it is denoted as

In how many ways can you select a president, vice president, treasurer, and secretary from a group of 10?

)!(

!

rn

nPrn

Page 20: Introduction to Probability. 5.1 Experiments, Outcomes, Events, and Sample Spaces Sample space - The set of all possible outcomes for an experiment Roll.

CombinationsUnordered selections of distinct objects are

called combinations. (order does not matter)

If we wish to know the number of r combinations of n distinct objects, it is denoted as

In how many ways can a committee of 5 senators be selected from a group of 8 senators?

)!(!

!

rnr

nCrn


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