/
Week 7 Lecture 2 Chapter 13. Week 7 Lecture 2 Chapter 13.

Week 7 Lecture 2 Chapter 13. - PowerPoint Presentation

holly
holly . @holly
Follow
350 views
Uploaded On 2022-06-15

Week 7 Lecture 2 Chapter 13. - PPT Presentation

Probability Rules 1 Conditional Probability 2 When P A gt 0 the conditional probability of B given A is   Example Spending Evening with Neighbor and Sex of the Respondents ID: 918746

probability albino independent male albino probability male independent randomly daily children adult selected american gene events child neighbourhood conditional

Share:

Link:

Embed:

Download Presentation from below link

Download Presentation The PPT/PDF document "Week 7 Lecture 2 Chapter 13." is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.


Presentation Transcript

Slide1

Week 7Lecture 2Chapter 13. Probability Rules

1

Slide2

Conditional Probability

2

When

P

(

A) > 0, the conditional probability of B given A is:

 

Slide3

Example: Spending Evening with Neighbor and Sex of the Respondents3

Suppose M and A are two possible outcomes, then

Let M: Male Let A: Almost Daily

The probability that a randomly selected American adult is a male:

P(M) =

The probability that a randomly selected American adult almost daily spends time with someone who lives in their neighbourhood is:P(A) =The probability that a randomly selected American adult is a male and almost daily spends time with someone who lives in his neighbourhood is:P(M and A) =

Slide4

Example: Spending Evening with Neighbor and Sex of the Respondents4

Suppose M and A are two possible outcomes, then

Let M: Male Let A: Almost Daily

The probability that a randomly selected American adult is a male:

P(M) =

= 0.4369The probability that a randomly selected American adult almost daily spends time with someone who lives in their neighbourhood is:P(A) = = 0.0581 The probability that a randomly selected American adult is a male and almost daily spends time with someone who lives in his neighbourhood is:P(M and A) = = 0.0262 0.03 

Slide5

Example: Spending Evening with Neighbor and Sex of the Respondents5

Suppose M and A are two possible outcomes, then

Let M: Male

Let A: Almost Daily

The conditional probability that a randomly selected American adult is a male given that he spend almost daily with someone in their neighbourhood is:

Slide6

Example: Spending Evening with Neighbor and Sex of the Respondents6

Suppose M and A are two possible outcomes, then

Let M: Male

Let A: Almost Daily

The conditional probability that a randomly selected American adult is a male given that he spend almost daily with someone in their neighbourhood is:

P(M given A) = = 0.4514 0.45Confirm another way:P(M given A) =

= 0.4514

0.45

 

Slide7

Independent Events

7

Two events are independent, in the sense that whether one occurs does not depend on whether the other occurs.

Two events A and B that both have positive probability, that is P(A) > 0, P(B) > 0 are

independent

IF P(B|A)=P(B)That means, if P(B given A) = P(B), the events A and B are independentIf A and B are independent, then P(A and B) = P(A) x P(B)

Slide8

General Multiplication Rule

8

We can express

as P(A and B) = P(B) × P(A|B)

We can express

as P(A and B) = P(A) × P(B|A)

Note that P(B and A) is the same as P(A and B)

 

Slide9

Conditional Example

9

Consider the contingency table below for applicant’s admission outcome (accepted or rejected) to law school for males and females.

Randomly select two male applicants to law school. What is probability that they are both rejected?

Slide10

Conditional Example

10

Consider the contingency table below for applicant’s admission outcome (accepted or rejected) to law school for males and females.

Randomly select two male applicants to law school. What is probability that they are both rejected?

Let R1 event “1st one rejected”Let R2 event “2nd one rejected”P(R1 and R2) = P(R1) x P(R2|R1) = 90/100 x 89/99 0.81 

Slide11

Disjoint Events

11

If two events A, B are disjoint, they can’t both happen.

Suppose A happens, then P(B|A) must be 0, whatever P(B) is.

A

BS

Slide12

Independent Example

12

The gene for albinism in humans is recessive. That is, carriers of this gene have probability 1/2 of passing it to a child, and the child is albino only if both parents pass the albinism gene. Parents pass their genes independently of each other. If both parents carry the albinism gene, what is the probability that their first child is albino?

Slide13

Independent Example

13

The gene for albinism in humans is recessive. That is, carriers of this gene have probability 1/2 of passing it to a child, and the child is albino only if both parents pass the albinism gene. Parents pass their genes independently of each other. If both parents carry the albinism gene, what is the probability that their first child is albino?

0.5 x 0.5 = 0.25

Slide14

Independent Example

14

Refer to the example in the previous slide.

If they have two children (who inherit independently of each other), what is the probability that

both are albino?

neither is albino?exactly one of the two children is albino?

Slide15

Independent Example

15

If they have two children (who inherit independently of each other), what is the probability that

both are albino?

0.25 x 0.25 = 0.0625

neither is albino? (1-0.25) x (1-0.25) = 0.75 x 0.75 = 0.5625exactly one of the two children is albino?Let S denote the Sample Space for all possible outcomes for whether the two children are Albino or notS = {(Albino, Albino), (Albino, Not Albino), (Not Albino, Albino), (Not Albino, Not Albino)}So, the event “exactly one of the two children is albino” = {(Albino, Not Albino), (Not Albino, Albino)}Which has probability: (0.25 x 0.75) + (0.75 x 0.25) = 0.375

Slide16

Independent Example

16

If they have three children (who inherit independently of each other), what is the probability that at least one of them is albino?

Slide17

Independent Example

17

If they have three children (who inherit independently of each other), what is the probability that at least one of them is albino?

_____ _____ _____

At least one means: 1, 2, or 3

In three children, we can have: 0, 1, 2, 3 albino.Use the idea of the complement of the probability of the event that all three children are not albino: 1- (0.75 x 0.75 x 0.75) = 1 – 0.4219 = 0.5781