SlideShare a Scribd company logo

Let U be a geometric random variable with p=.3, V be a geometric ran.pdf

•
•
I
info665359

Let U be a geometric random variable with p=.3, V be a geometric random variable with p=.2, X be a geometric random variable with p=.5, Y be a geometric random variable with p=.4. Let U, V, X, Y be independent and W=U+V+Y+X. Find P(W=k) for k=6, 7, 8. Solution W is also geometric with parameter p=[1 - (1 - .3)(1 - .2 )(1 - .5)(1 - .6)] = [1 - (0.7)(0.8)(0.5)(0.4)]= 0.832 Then P(W=k) is the probability the first successful outcome occurs on the kth trial. P(W=6) = 5 failures followed by a success on the 6th trial = (1 - 0.832)5•(0.832) = 0.0001113 P(W=7) = 6 failures followed by a success on the 7th trial = (1 - 0.832)6•(0.832) = 0.0000187 P(W=8) = 7 failures followed by a success on the 8th trial = (1 - 0.832)7•(0.832) = 0.00000314 *Note: There are other ways to correctly define a geometric distribution. This is the method I see most often..

Education
1 of 1
Download to read offline
Let U be a geometric random variable with p=.3, V be a geometric random variable with p=.2, X be a geometric random variable with p=.5, Y be a geometric random variable with p=.4. Let U, V, X, Y be independent and W=U+V+Y+X. Find P(W=k) for k=6, 7, 8. Solution W is also geometric with parameter p=[1 - (1 - .3)(1 - .2 )(1 - .5)(1 - .6)] = [1 - (0.7)(0.8)(0.5)(0.4)]= 0.832 Then P(W=k) is the probability the first successful outcome occurs on the kth trial. P(W=6) = 5 failures followed by a success on the 6th trial = (1 - 0.832)5•(0.832) = 0.0001113 P(W=7) = 6 failures followed by a success on the 7th trial = (1 - 0.832)6•(0.832) = 0.0000187 P(W=8) = 7 failures followed by a success on the 8th trial = (1 - 0.832)7•(0.832) = 0.00000314 *Note: There are other ways to correctly define a geometric distribution. This is the method I see most often.

Recommended

Common Fixed Point Theorems in Uniform Spaces
Common Fixed Point Theorems in Uniform SpacesCommon Fixed Point Theorems in Uniform Spaces
Common Fixed Point Theorems in Uniform SpacesIJLT EMAS
 
Common fixed point theorem for occasionally weakly compatible mapping in q fu...
Common fixed point theorem for occasionally weakly compatible mapping in q fu...Common fixed point theorem for occasionally weakly compatible mapping in q fu...
Common fixed point theorem for occasionally weakly compatible mapping in q fu...Alexander Decker
 
Jointly Distributed Random Variaables.ppt
Jointly Distributed Random Variaables.pptJointly Distributed Random Variaables.ppt
Jointly Distributed Random Variaables.pptRohitKumar639388
 
Probability based learning (in book: Machine learning for predictve data anal...
Probability based learning (in book: Machine learning for predictve data anal...Probability based learning (in book: Machine learning for predictve data anal...
Probability based learning (in book: Machine learning for predictve data anal...Duyen Do
 
15 Probability Distribution Practical (HSC).pdf
15 Probability Distribution Practical (HSC).pdf15 Probability Distribution Practical (HSC).pdf
15 Probability Distribution Practical (HSC).pdfvedantsk1
 
A new axisymmetric finite element
A new axisymmetric finite elementA new axisymmetric finite element
A new axisymmetric finite elementStefan Duprey
 
Let X1 and X2 be independent random variables with nonzero variances.pdf
Let X1 and X2 be independent random variables with nonzero variances.pdfLet X1 and X2 be independent random variables with nonzero variances.pdf
Let X1 and X2 be independent random variables with nonzero variances.pdfinfo665359
 
let x Solution The word topology is used bot.pdf
let x Solution The word topology is used bot.pdflet x Solution The word topology is used bot.pdf
let x Solution The word topology is used bot.pdfinfo665359
 

Recommended

Common Fixed Point Theorems in Uniform Spaces
Common Fixed Point Theorems in Uniform SpacesCommon Fixed Point Theorems in Uniform Spaces
Common Fixed Point Theorems in Uniform SpacesIJLT EMAS
 
Common fixed point theorem for occasionally weakly compatible mapping in q fu...
Common fixed point theorem for occasionally weakly compatible mapping in q fu...Common fixed point theorem for occasionally weakly compatible mapping in q fu...
Common fixed point theorem for occasionally weakly compatible mapping in q fu...Alexander Decker
 
Jointly Distributed Random Variaables.ppt
Jointly Distributed Random Variaables.pptJointly Distributed Random Variaables.ppt
Jointly Distributed Random Variaables.pptRohitKumar639388
 
Probability based learning (in book: Machine learning for predictve data anal...
Probability based learning (in book: Machine learning for predictve data anal...Probability based learning (in book: Machine learning for predictve data anal...
Probability based learning (in book: Machine learning for predictve data anal...Duyen Do
 
15 Probability Distribution Practical (HSC).pdf
15 Probability Distribution Practical (HSC).pdf15 Probability Distribution Practical (HSC).pdf
15 Probability Distribution Practical (HSC).pdfvedantsk1
 
A new axisymmetric finite element
A new axisymmetric finite elementA new axisymmetric finite element
A new axisymmetric finite elementStefan Duprey
 
Let X1 and X2 be independent random variables with nonzero variances.pdf
Let X1 and X2 be independent random variables with nonzero variances.pdfLet X1 and X2 be independent random variables with nonzero variances.pdf
Let X1 and X2 be independent random variables with nonzero variances.pdfinfo665359
 
let x Solution The word topology is used bot.pdf
let x Solution The word topology is used bot.pdflet x Solution The word topology is used bot.pdf
let x Solution The word topology is used bot.pdfinfo665359
 
Let X possess a density functionf(x) = { cx 0= x = 4{ 0 el.pdf
Let X possess a density functionf(x) = { cx 0= x = 4{ 0 el.pdfLet X possess a density functionf(x) = { cx 0= x = 4{ 0 el.pdf
Let X possess a density functionf(x) = { cx 0= x = 4{ 0 el.pdfinfo665359
 
Let X have a Poisson distribution with a variance of 3.5. Find P(X.pdf
Let X have a Poisson distribution with a variance of 3.5. Find P(X.pdfLet X have a Poisson distribution with a variance of 3.5. Find P(X.pdf
Let X have a Poisson distribution with a variance of 3.5. Find P(X.pdfinfo665359
 
Let X denote the number of empty bins when 50 balls are thrown inde.pdf
Let X denote the number of empty bins when 50 balls are thrown inde.pdfLet X denote the number of empty bins when 50 balls are thrown inde.pdf
Let X denote the number of empty bins when 50 balls are thrown inde.pdfinfo665359
 
Let X denote the tangent of an angle chosen at random from the inter.pdf
Let X denote the tangent of an angle chosen at random from the inter.pdfLet X denote the tangent of an angle chosen at random from the inter.pdf
Let X denote the tangent of an angle chosen at random from the inter.pdfinfo665359
 
Let X be uniformly distributed over the interval [ -a, a ]. (a) .pdf
Let X be uniformly distributed over the interval [ -a, a ]. (a) .pdfLet X be uniformly distributed over the interval [ -a, a ]. (a) .pdf
Let X be uniformly distributed over the interval [ -a, a ]. (a) .pdfinfo665359
 
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 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
 
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...fonyou31
 
Advance Mobile Application Development class 07
Advance Mobile Application Development class 07Advance Mobile Application Development class 07
Advance Mobile Application Development class 07Dr. Mazin Mohamed alkathiri
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
9548086042 for call girls in Indira Nagar with room service
9548086042 for call girls in Indira Nagar with room service9548086042 for call girls in Indira Nagar with room service
9548086042 for call girls in Indira Nagar with room servicediscovermytutordmt
 

More Related Content

More from info665359

Let X possess a density functionf(x) = { cx 0= x = 4{ 0 el.pdf
Let X possess a density functionf(x) = { cx 0= x = 4{ 0 el.pdfLet X possess a density functionf(x) = { cx 0= x = 4{ 0 el.pdf
Let X possess a density functionf(x) = { cx 0= x = 4{ 0 el.pdfinfo665359
 
Let X have a Poisson distribution with a variance of 3.5. Find P(X.pdf
Let X have a Poisson distribution with a variance of 3.5. Find P(X.pdfLet X have a Poisson distribution with a variance of 3.5. Find P(X.pdf
Let X have a Poisson distribution with a variance of 3.5. Find P(X.pdfinfo665359
 
Let X denote the number of empty bins when 50 balls are thrown inde.pdf
Let X denote the number of empty bins when 50 balls are thrown inde.pdfLet X denote the number of empty bins when 50 balls are thrown inde.pdf
Let X denote the number of empty bins when 50 balls are thrown inde.pdfinfo665359
 
Let X denote the tangent of an angle chosen at random from the inter.pdf
Let X denote the tangent of an angle chosen at random from the inter.pdfLet X denote the tangent of an angle chosen at random from the inter.pdf
Let X denote the tangent of an angle chosen at random from the inter.pdfinfo665359
 
Let X be uniformly distributed over the interval [ -a, a ]. (a) .pdf
Let X be uniformly distributed over the interval [ -a, a ]. (a) .pdfLet X be uniformly distributed over the interval [ -a, a ]. (a) .pdf
Let X be uniformly distributed over the interval [ -a, a ]. (a) .pdfinfo665359
 
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 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
 

More from info665359 (18)

Let X possess a density functionf(x) = { cx 0= x = 4{ 0 el.pdf
Let X possess a density functionf(x) = { cx 0= x = 4{ 0 el.pdfLet X possess a density functionf(x) = { cx 0= x = 4{ 0 el.pdf
Let X possess a density functionf(x) = { cx 0= x = 4{ 0 el.pdf
 
Let X have a Poisson distribution with a variance of 3.5. Find P(X.pdf
Let X have a Poisson distribution with a variance of 3.5. Find P(X.pdfLet X have a Poisson distribution with a variance of 3.5. Find P(X.pdf
Let X have a Poisson distribution with a variance of 3.5. Find P(X.pdf
 
Let X denote the number of empty bins when 50 balls are thrown inde.pdf
Let X denote the number of empty bins when 50 balls are thrown inde.pdfLet X denote the number of empty bins when 50 balls are thrown inde.pdf
Let X denote the number of empty bins when 50 balls are thrown inde.pdf
 
Let X denote the tangent of an angle chosen at random from the inter.pdf
Let X denote the tangent of an angle chosen at random from the inter.pdfLet X denote the tangent of an angle chosen at random from the inter.pdf
Let X denote the tangent of an angle chosen at random from the inter.pdf
 
Let X be uniformly distributed over the interval [ -a, a ]. (a) .pdf
Let X be uniformly distributed over the interval [ -a, a ]. (a) .pdfLet X be uniformly distributed over the interval [ -a, a ]. (a) .pdf
Let X be uniformly distributed over the interval [ -a, a ]. (a) .pdf
 
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 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
 

Recently uploaded

Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...fonyou31
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
9548086042 for call girls in Indira Nagar with room service
9548086042 for call girls in Indira Nagar with room service9548086042 for call girls in Indira Nagar with room service
9548086042 for call girls in Indira Nagar with room servicediscovermytutordmt
 
fourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writingfourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writingTeacherCyreneCayanan
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfagholdier
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdfQucHHunhnh
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhikauryashika82
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationnomboosow
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3JemimahLaneBuaron
 
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...Sapna Thakur
 
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...PsychoTech Services
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxVishalSingh1417
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDThiyagu K
 

Recently uploaded (20)

Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
 
Advance Mobile Application Development class 07
Advance Mobile Application Development class 07Advance Mobile Application Development class 07
Advance Mobile Application Development class 07
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
9548086042 for call girls in Indira Nagar with room service
9548086042 for call girls in Indira Nagar with room service9548086042 for call girls in Indira Nagar with room service
9548086042 for call girls in Indira Nagar with room service
 
fourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writingfourth grading exam for kindergarten in writing
fourth grading exam for kindergarten in writing
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in DelhiRussian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
Russian Escort Service in Delhi 11k Hotel Foreigner Russian Call Girls in Delhi
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communication
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3
 
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
BAG TECHNIQUE Bag technique-a tool making use of public health bag through wh...
 
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
IGNOU MSCCFT and PGDCFT Exam Question Pattern: MCFT003 Counselling and Family...
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptx
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 

Let U be a geometric random variable with p=.3, V be a geometric ran.pdf

  • 1. Let U be a geometric random variable with p=.3, V be a geometric random variable with p=.2, X be a geometric random variable with p=.5, Y be a geometric random variable with p=.4. Let U, V, X, Y be independent and W=U+V+Y+X. Find P(W=k) for k=6, 7, 8. Solution W is also geometric with parameter p=[1 - (1 - .3)(1 - .2 )(1 - .5)(1 - .6)] = [1 - (0.7)(0.8)(0.5)(0.4)]= 0.832 Then P(W=k) is the probability the first successful outcome occurs on the kth trial. P(W=6) = 5 failures followed by a success on the 6th trial = (1 - 0.832)5•(0.832) = 0.0001113 P(W=7) = 6 failures followed by a success on the 7th trial = (1 - 0.832)6•(0.832) = 0.0000187 P(W=8) = 7 failures followed by a success on the 8th trial = (1 - 0.832)7•(0.832) = 0.00000314 *Note: There are other ways to correctly define a geometric distribution. This is the method I see most often.