SlideShare uma empresa Scribd logo
1 de 1
Baixar para ler offline
Let X be a random variable that takes on the values {-1,0,1,2,3} each with probability 0.2. Let Y
= X^2. What is the conditional expectation of X given that Y=1?
Solution
if Y = 1 , then X = -1 or 1 , probability for Y=1 is 0.4 , probability for X=-1 if
Y=1 is 0.5 , probability for X=-1 if Y=1 is 0.5 .

Mais conteúdo relacionado

Mais de info665359

Let X be an r.v. defined on a sample space S into the real line R . .pdf
Let X be an r.v. defined on a sample space S into the real line R . .pdfLet X be an r.v. defined on a sample space S into the real line R . .pdf
Let X be an r.v. defined on a sample space S into the real line R . .pdfinfo665359
 
let X be a raondom variable that represents the number of infants in.pdf
let X be a raondom variable that represents the number of infants in.pdflet X be a raondom variable that represents the number of infants in.pdf
let X be a raondom variable that represents the number of infants in.pdfinfo665359
 
Let X be a random variable with cumulative distribution funtion0.pdf
Let X be a random variable with cumulative distribution funtion0.pdfLet X be a random variable with cumulative distribution funtion0.pdf
Let X be a random variable with cumulative distribution funtion0.pdfinfo665359
 
let X be a random variable having Poisson density parameter Calcula.pdf
let X be a random variable having Poisson density parameter  Calcula.pdflet X be a random variable having Poisson density parameter  Calcula.pdf
let X be a random variable having Poisson density parameter Calcula.pdfinfo665359
 
Let X be a random number between 0 and 1 produced by the idealized r.pdf
Let X be a random number between 0 and 1 produced by the idealized r.pdfLet X be a random number between 0 and 1 produced by the idealized r.pdf
Let X be a random number between 0 and 1 produced by the idealized r.pdfinfo665359
 
Let X be a binomial random variable with parameters m and 13. Find .pdf
Let X be a binomial random variable with parameters m and 13. Find .pdfLet X be a binomial random variable with parameters m and 13. Find .pdf
Let X be a binomial random variable with parameters m and 13. Find .pdfinfo665359
 
Let X be a discrete random variable that takes on two values -1 and.pdf
Let X be a discrete random variable that takes on two values -1 and.pdfLet X be a discrete random variable that takes on two values -1 and.pdf
Let X be a discrete random variable that takes on two values -1 and.pdfinfo665359
 
Let X and Y have the joint normal distribution described in equation.pdf
Let X and Y have the joint normal distribution described in equation.pdfLet X and Y have the joint normal distribution described in equation.pdf
Let X and Y have the joint normal distribution described in equation.pdfinfo665359
 
Let X and Y be uniformly distributed in the interval [0,1]. Compute .pdf
Let X and Y be uniformly distributed in the interval [0,1]. Compute .pdfLet X and Y be uniformly distributed in the interval [0,1]. Compute .pdf
Let X and Y be uniformly distributed in the interval [0,1]. Compute .pdfinfo665359
 
Let V be a vector space containing polynomials in the form f(x)=ao+a.pdf
Let V be a vector space containing polynomials in the form f(x)=ao+a.pdfLet V be a vector space containing polynomials in the form f(x)=ao+a.pdf
Let V be a vector space containing polynomials in the form f(x)=ao+a.pdfinfo665359
 
Let V be the vector space of ordered pairs of complex numbers over t.pdf
Let V be the vector space of ordered pairs of complex numbers over t.pdfLet V be the vector space of ordered pairs of complex numbers over t.pdf
Let V be the vector space of ordered pairs of complex numbers over t.pdfinfo665359
 
Let X (t) be a birth and death process with possible states 0, 1, ...pdf
Let X (t) be a birth and death process with possible states 0, 1, ...pdfLet X (t) be a birth and death process with possible states 0, 1, ...pdf
Let X (t) be a birth and death process with possible states 0, 1, ...pdfinfo665359
 

Mais de info665359 (12)

Let X be an r.v. defined on a sample space S into the real line R . .pdf
Let X be an r.v. defined on a sample space S into the real line R . .pdfLet X be an r.v. defined on a sample space S into the real line R . .pdf
Let X be an r.v. defined on a sample space S into the real line R . .pdf
 
let X be a raondom variable that represents the number of infants in.pdf
let X be a raondom variable that represents the number of infants in.pdflet X be a raondom variable that represents the number of infants in.pdf
let X be a raondom variable that represents the number of infants in.pdf
 
Let X be a random variable with cumulative distribution funtion0.pdf
Let X be a random variable with cumulative distribution funtion0.pdfLet X be a random variable with cumulative distribution funtion0.pdf
Let X be a random variable with cumulative distribution funtion0.pdf
 
let X be a random variable having Poisson density parameter Calcula.pdf
let X be a random variable having Poisson density parameter  Calcula.pdflet X be a random variable having Poisson density parameter  Calcula.pdf
let X be a random variable having Poisson density parameter Calcula.pdf
 
Let X be a random number between 0 and 1 produced by the idealized r.pdf
Let X be a random number between 0 and 1 produced by the idealized r.pdfLet X be a random number between 0 and 1 produced by the idealized r.pdf
Let X be a random number between 0 and 1 produced by the idealized r.pdf
 
Let X be a binomial random variable with parameters m and 13. Find .pdf
Let X be a binomial random variable with parameters m and 13. Find .pdfLet X be a binomial random variable with parameters m and 13. Find .pdf
Let X be a binomial random variable with parameters m and 13. Find .pdf
 
Let X be a discrete random variable that takes on two values -1 and.pdf
Let X be a discrete random variable that takes on two values -1 and.pdfLet X be a discrete random variable that takes on two values -1 and.pdf
Let X be a discrete random variable that takes on two values -1 and.pdf
 
Let X and Y have the joint normal distribution described in equation.pdf
Let X and Y have the joint normal distribution described in equation.pdfLet X and Y have the joint normal distribution described in equation.pdf
Let X and Y have the joint normal distribution described in equation.pdf
 
Let X and Y be uniformly distributed in the interval [0,1]. Compute .pdf
Let X and Y be uniformly distributed in the interval [0,1]. Compute .pdfLet X and Y be uniformly distributed in the interval [0,1]. Compute .pdf
Let X and Y be uniformly distributed in the interval [0,1]. Compute .pdf
 
Let V be a vector space containing polynomials in the form f(x)=ao+a.pdf
Let V be a vector space containing polynomials in the form f(x)=ao+a.pdfLet V be a vector space containing polynomials in the form f(x)=ao+a.pdf
Let V be a vector space containing polynomials in the form f(x)=ao+a.pdf
 
Let V be the vector space of ordered pairs of complex numbers over t.pdf
Let V be the vector space of ordered pairs of complex numbers over t.pdfLet V be the vector space of ordered pairs of complex numbers over t.pdf
Let V be the vector space of ordered pairs of complex numbers over t.pdf
 
Let X (t) be a birth and death process with possible states 0, 1, ...pdf
Let X (t) be a birth and death process with possible states 0, 1, ...pdfLet X (t) be a birth and death process with possible states 0, 1, ...pdf
Let X (t) be a birth and death process with possible states 0, 1, ...pdf
 

Último

Concurrency Control in Database Management system
Concurrency Control in Database Management systemConcurrency Control in Database Management system
Concurrency Control in Database Management systemChristalin Nelson
 
What is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPWhat is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPCeline George
 
Choosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for ParentsChoosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for Parentsnavabharathschool99
 
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfInclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfTechSoup
 
ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4MiaBumagat1
 
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYKayeClaireEstoconing
 
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONHumphrey A Beña
 
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptxAUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptxiammrhaywood
 
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdfGrade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdfJemuel Francisco
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPCeline George
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxAnupkumar Sharma
 
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdfVirtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdfErwinPantujan2
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Celine George
 
4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptxmary850239
 
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptxQ4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptxlancelewisportillo
 
ICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfVanessa Camilleri
 
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Celine George
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for BeginnersSabitha Banu
 
Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Mark Reed
 

Último (20)

Concurrency Control in Database Management system
Concurrency Control in Database Management systemConcurrency Control in Database Management system
Concurrency Control in Database Management system
 
What is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPWhat is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERP
 
Choosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for ParentsChoosing the Right CBSE School A Comprehensive Guide for Parents
Choosing the Right CBSE School A Comprehensive Guide for Parents
 
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdfInclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
Inclusivity Essentials_ Creating Accessible Websites for Nonprofits .pdf
 
ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4
 
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
 
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
 
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptxAUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
 
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdfGrade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
Grade 9 Quarter 4 Dll Grade 9 Quarter 4 DLL.pdf
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERP
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
 
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptxYOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
 
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdfVirtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17
 
4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx
 
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptxQ4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
 
ICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdfICS2208 Lecture6 Notes for SL spaces.pdf
ICS2208 Lecture6 Notes for SL spaces.pdf
 
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
 
Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for Beginners
 
Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)
 

Let X be a random variable that takes on the values {-1,0,1,2,3} eac.pdf

  • 1. Let X be a random variable that takes on the values {-1,0,1,2,3} each with probability 0.2. Let Y = X^2. What is the conditional expectation of X given that Y=1? Solution if Y = 1 , then X = -1 or 1 , probability for Y=1 is 0.4 , probability for X=-1 if Y=1 is 0.5 , probability for X=-1 if Y=1 is 0.5 .