SlideShare a Scribd company logo
1 of 13
Download to read offline
“Modelos probabilisticos”
Dr. Jorge Alejandro Obando Bastidas
Función de
probabilidad
Los valores que toma una v.a. discreta X y sus correspondientes
probabilidades suelen disponerse en una tabla con dos filas o dos
columnas llamada tabla de distribución de probabilidad:
Toda función de probabilidad
se verifica que
P1 + P2 + P3 + …. + Pn = 1
Media Desviación
Estándar
La distribución de probabilidad de una v.a. X viene
dada por la siguiente tabla:
¿Cuánto vale P(x=3)?
Calcula la media y varianza
EJEMPLO
Variables
Discretas
Binomial Hipergeometrica Poisson
Continuas
Exponencial Normal
En cada prueba del experimento sólo son posibles dos
resultados: el suceso A (éxito) y su contrario
P éxito es grande
La distribución
binomial
1
2
3
4
5
La probabilidad del suceso A es constante, es
decir, que no varía de una prueba a otra. Se
representa por p.
El resultado obtenido en cada prueba es independiente
de los resultados obtenidos anteriormente.
Las muestras son pequeñas
Modelo
matemático
La última novela de un autor ha tenido un gran éxito, hasta
el punto de que el 80% de los lectores ya la han leído.
¿Cuál es la probabilidad de que en el grupo hayan leído
la novela 2 personas?¿Y como máximo 2?
EJEMPLO
Si un grupo de 4 amigos son aficionados a la lectura:
Se envió un
cargamento de
10.000 artículos a
unos almacenes.
Hallar el número
esperado de
artículos
defectuosos, la
varianza y la
desviación típica.
La probabilidad de que
un artículo producido
por una fabrica sea
defectuoso es p 0.002
Ejemplo
Un agente de seguros vende pólizas a cinco personas de la
misma edad y que disfrutan de buena salud.
Hállese la probabilidad de que, transcurridos 30 años, vivan:
1. Las cinco personas. 2.Al menos tres personas.
3.Exactamente dos personas.
EJEMPLO
Según las tablas actuales, la probabilidad de que una
persona en estas condiciones viva 30 años o más es 2/3.
Distribución discreta
que modela el No.
de eventos
Distribución
Hipergeometrica
(es un evento o
un no evento)
En una muestra
de tamaño fijo
Al conocer el No.
total de elementos
en la población.
Proveniente
de la muestra
Cada elemento con 2
resultados posibles
Considerando que en la urna hay un total de 10 objetos,
¿cuál es la probabilidad de que 2 sean defectuosos?
EJEMPLO
3 de los cuales son defectuosos, si se seleccionan 4 objetos
al azar,
Solución:
N = 10 objetos en total
a = 3 objetos defectuosos
n = 4 objetos seleccionados en muestra
x = 2 objetos defectuosos deseados en la muestra
Distribución de
Poisson
La variable
aleatoria discreta
X
Tiene valores
posibles que son:
0,1,2…
Tiene
distribución
Poisson con
parámetro
𝜆
Se escribe:
𝑋 𝑃(𝜆) ,
si Su función de
probabilidad es:
𝜆 = 𝑛 ∗ 𝑝
a) Que no ocurra ningún accidente en un mes
b) Que como máximo ocurran 2 accidentes en un mes
c) Que ocurran 30 accidentes en un año
d) que ocurran 8 accidentes en un trimestre
En una empresa el
término medio de
accidentes es de 3
por mes. Calcular la
probabilidad de:
EJEMPLO
Dr. Jorge Alejandro Obando Bastidas
Jorge.obandob@campusucc.edu.co

More Related Content

What's hot

Binomial distribution
Binomial distributionBinomial distribution
Binomial distributionGlobal Polis
 
Mean, variance, and standard deviation of a Discrete Random Variable
Mean, variance, and standard deviation of a Discrete Random VariableMean, variance, and standard deviation of a Discrete Random Variable
Mean, variance, and standard deviation of a Discrete Random VariableMichael Ogoy
 
Discrete random variable.
Discrete random variable.Discrete random variable.
Discrete random variable.Shakeel Nouman
 
Module 7 discrete probability distributions
Module 7 discrete probability distributionsModule 7 discrete probability distributions
Module 7 discrete probability distributionsMiniCabalquinto1
 
Probability 4.1
Probability 4.1Probability 4.1
Probability 4.1herbison
 
Semana8 teorema del limite central
Semana8 teorema del limite centralSemana8 teorema del limite central
Semana8 teorema del limite centralJorge Obando
 
Sqqs1013 ch4-a112
Sqqs1013 ch4-a112Sqqs1013 ch4-a112
Sqqs1013 ch4-a112kim rae KI
 
The binomial distributions
The binomial distributionsThe binomial distributions
The binomial distributionsmaamir farooq
 
Statistik 1 5 distribusi probabilitas diskrit
Statistik 1 5 distribusi probabilitas diskritStatistik 1 5 distribusi probabilitas diskrit
Statistik 1 5 distribusi probabilitas diskritSelvin Hadi
 
Random variable
Random variable Random variable
Random variable JalilAlih
 
Binomial distribution
Binomial distributionBinomial distribution
Binomial distributionnumanmunir01
 
Discrete Probability Distributions
Discrete Probability DistributionsDiscrete Probability Distributions
Discrete Probability Distributionsmandalina landy
 
binomial distribution
binomial distributionbinomial distribution
binomial distributionZarish Qaiser
 
Chapter 1 random variables and probability distributions
Chapter 1   random variables and probability distributionsChapter 1   random variables and probability distributions
Chapter 1 random variables and probability distributionsAntonio F. Balatar Jr.
 
Bernoullis Random Variables And Binomial Distribution
Bernoullis Random Variables And Binomial DistributionBernoullis Random Variables And Binomial Distribution
Bernoullis Random Variables And Binomial DistributionDataminingTools Inc
 
Probability Distributions
Probability DistributionsProbability Distributions
Probability Distributionsrishi.indian
 

What's hot (20)

Binomial distribution
Binomial distributionBinomial distribution
Binomial distribution
 
Mean, variance, and standard deviation of a Discrete Random Variable
Mean, variance, and standard deviation of a Discrete Random VariableMean, variance, and standard deviation of a Discrete Random Variable
Mean, variance, and standard deviation of a Discrete Random Variable
 
Discrete random variable.
Discrete random variable.Discrete random variable.
Discrete random variable.
 
Module 7 discrete probability distributions
Module 7 discrete probability distributionsModule 7 discrete probability distributions
Module 7 discrete probability distributions
 
Binomial probability distributions
Binomial probability distributions  Binomial probability distributions
Binomial probability distributions
 
Probability 4.1
Probability 4.1Probability 4.1
Probability 4.1
 
Semana8 teorema del limite central
Semana8 teorema del limite centralSemana8 teorema del limite central
Semana8 teorema del limite central
 
Sqqs1013 ch4-a112
Sqqs1013 ch4-a112Sqqs1013 ch4-a112
Sqqs1013 ch4-a112
 
The binomial distributions
The binomial distributionsThe binomial distributions
The binomial distributions
 
Statistik 1 5 distribusi probabilitas diskrit
Statistik 1 5 distribusi probabilitas diskritStatistik 1 5 distribusi probabilitas diskrit
Statistik 1 5 distribusi probabilitas diskrit
 
Random variable
Random variable Random variable
Random variable
 
Binomial distribution
Binomial distributionBinomial distribution
Binomial distribution
 
Discrete Probability Distributions
Discrete Probability DistributionsDiscrete Probability Distributions
Discrete Probability Distributions
 
5 random variables
5 random variables5 random variables
5 random variables
 
Chapter07
Chapter07Chapter07
Chapter07
 
binomial distribution
binomial distributionbinomial distribution
binomial distribution
 
Guia de estudio para aa5
Guia de estudio  para aa5 Guia de estudio  para aa5
Guia de estudio para aa5
 
Chapter 1 random variables and probability distributions
Chapter 1   random variables and probability distributionsChapter 1   random variables and probability distributions
Chapter 1 random variables and probability distributions
 
Bernoullis Random Variables And Binomial Distribution
Bernoullis Random Variables And Binomial DistributionBernoullis Random Variables And Binomial Distribution
Bernoullis Random Variables And Binomial Distribution
 
Probability Distributions
Probability DistributionsProbability Distributions
Probability Distributions
 

Similar to Semana5 modelos

CHAPTER I- Part 1.pptx
CHAPTER I- Part 1.pptxCHAPTER I- Part 1.pptx
CHAPTER I- Part 1.pptxJaysonMagalong
 
4 1 probability and discrete probability distributions
4 1 probability and discrete    probability distributions4 1 probability and discrete    probability distributions
4 1 probability and discrete probability distributionsLama K Banna
 
Module 5 Lecture Notes
Module 5 Lecture NotesModule 5 Lecture Notes
Module 5 Lecture NotesLumen Learning
 
Binomial probability distribution
Binomial probability distributionBinomial probability distribution
Binomial probability distributionhamza munir
 
Statistics and Probability-Random Variables and Probability Distribution
Statistics and Probability-Random Variables and Probability DistributionStatistics and Probability-Random Variables and Probability Distribution
Statistics and Probability-Random Variables and Probability DistributionApril Palmes
 
binomial distribution
binomial distributionbinomial distribution
binomial distributionMmedsc Hahm
 
AP Statistic and Probability 6.1 (1).ppt
AP Statistic and Probability 6.1 (1).pptAP Statistic and Probability 6.1 (1).ppt
AP Statistic and Probability 6.1 (1).pptAlfredNavea1
 
random variation 9473 by jaideep.ppt
random variation 9473 by jaideep.pptrandom variation 9473 by jaideep.ppt
random variation 9473 by jaideep.pptBhartiYadav316049
 
Distribution of random numbers
Distribution of random numbersDistribution of random numbers
Distribution of random numbersneeta1995
 
Probability and Statistics : Binomial Distribution notes ppt.pdf
Probability and Statistics : Binomial Distribution notes ppt.pdfProbability and Statistics : Binomial Distribution notes ppt.pdf
Probability and Statistics : Binomial Distribution notes ppt.pdfnomovi6416
 
Basic probability concept
Basic probability conceptBasic probability concept
Basic probability conceptMmedsc Hahm
 
Different types of distributions
Different types of distributionsDifferent types of distributions
Different types of distributionsRajaKrishnan M
 
Statistik Chapter 5 (1)
Statistik Chapter 5 (1)Statistik Chapter 5 (1)
Statistik Chapter 5 (1)WanBK Leo
 
Probability distribution
Probability distributionProbability distribution
Probability distributionRohit kumar
 
Bivariate Discrete Distribution
Bivariate Discrete DistributionBivariate Discrete Distribution
Bivariate Discrete DistributionArijitDhali
 

Similar to Semana5 modelos (20)

CHAPTER I- Part 1.pptx
CHAPTER I- Part 1.pptxCHAPTER I- Part 1.pptx
CHAPTER I- Part 1.pptx
 
4 1 probability and discrete probability distributions
4 1 probability and discrete    probability distributions4 1 probability and discrete    probability distributions
4 1 probability and discrete probability distributions
 
Module 5 Lecture Notes
Module 5 Lecture NotesModule 5 Lecture Notes
Module 5 Lecture Notes
 
Prob distros
Prob distrosProb distros
Prob distros
 
Probability distribution
Probability distributionProbability distribution
Probability distribution
 
Probablity & queueing theory basic terminologies & applications
Probablity & queueing theory basic terminologies & applicationsProbablity & queueing theory basic terminologies & applications
Probablity & queueing theory basic terminologies & applications
 
Binomial probability distribution
Binomial probability distributionBinomial probability distribution
Binomial probability distribution
 
Statistics and Probability-Random Variables and Probability Distribution
Statistics and Probability-Random Variables and Probability DistributionStatistics and Probability-Random Variables and Probability Distribution
Statistics and Probability-Random Variables and Probability Distribution
 
Discrete PDs(1).pdf
Discrete PDs(1).pdfDiscrete PDs(1).pdf
Discrete PDs(1).pdf
 
binomial distribution
binomial distributionbinomial distribution
binomial distribution
 
AP Statistic and Probability 6.1 (1).ppt
AP Statistic and Probability 6.1 (1).pptAP Statistic and Probability 6.1 (1).ppt
AP Statistic and Probability 6.1 (1).ppt
 
random variation 9473 by jaideep.ppt
random variation 9473 by jaideep.pptrandom variation 9473 by jaideep.ppt
random variation 9473 by jaideep.ppt
 
Distribution of random numbers
Distribution of random numbersDistribution of random numbers
Distribution of random numbers
 
Probability and Statistics : Binomial Distribution notes ppt.pdf
Probability and Statistics : Binomial Distribution notes ppt.pdfProbability and Statistics : Binomial Distribution notes ppt.pdf
Probability and Statistics : Binomial Distribution notes ppt.pdf
 
Basic probability concept
Basic probability conceptBasic probability concept
Basic probability concept
 
Different types of distributions
Different types of distributionsDifferent types of distributions
Different types of distributions
 
Statistik Chapter 5 (1)
Statistik Chapter 5 (1)Statistik Chapter 5 (1)
Statistik Chapter 5 (1)
 
Probability distribution
Probability distributionProbability distribution
Probability distribution
 
Binomial distribution
Binomial distributionBinomial distribution
Binomial distribution
 
Bivariate Discrete Distribution
Bivariate Discrete DistributionBivariate Discrete Distribution
Bivariate Discrete Distribution
 

More from Jorge Obando

Descriptiva-Semana14
Descriptiva-Semana14Descriptiva-Semana14
Descriptiva-Semana14Jorge Obando
 
Semana13-Semana11 rlm
Semana13-Semana11 rlmSemana13-Semana11 rlm
Semana13-Semana11 rlmJorge Obando
 
Descriptiva-Semana12RL
Descriptiva-Semana12RLDescriptiva-Semana12RL
Descriptiva-Semana12RLJorge Obando
 
Descriptiva-Semana9
Descriptiva-Semana9 Descriptiva-Semana9
Descriptiva-Semana9 Jorge Obando
 
Descriptiva-Semana8
Descriptiva-Semana8 Descriptiva-Semana8
Descriptiva-Semana8 Jorge Obando
 
Descriptiva-Semana7
Descriptiva-Semana7Descriptiva-Semana7
Descriptiva-Semana7Jorge Obando
 
Descriptiva-Semana4
Descriptiva-Semana4Descriptiva-Semana4
Descriptiva-Semana4Jorge Obando
 
Descriptiva-Semana3
Descriptiva-Semana3Descriptiva-Semana3
Descriptiva-Semana3Jorge Obando
 
Descriptiva-Semana2
Descriptiva-Semana2Descriptiva-Semana2
Descriptiva-Semana2Jorge Obando
 
Hipotesis2 chicuadrado
Hipotesis2 chicuadradoHipotesis2 chicuadrado
Hipotesis2 chicuadradoJorge Obando
 
Hipotesis2 grupos dependientes
Hipotesis2 grupos dependientesHipotesis2 grupos dependientes
Hipotesis2 grupos dependientesJorge Obando
 
Hipotesis2 grupos independientes
Hipotesis2 grupos independientesHipotesis2 grupos independientes
Hipotesis2 grupos independientesJorge Obando
 
Seman12 hipotesis2-grupos
Seman12  hipotesis2-gruposSeman12  hipotesis2-grupos
Seman12 hipotesis2-gruposJorge Obando
 
Pruebasdehipotesis semana10
Pruebasdehipotesis semana10Pruebasdehipotesis semana10
Pruebasdehipotesis semana10Jorge Obando
 
Semana4 teoremade bayes
Semana4 teoremade bayesSemana4 teoremade bayes
Semana4 teoremade bayesJorge Obando
 
Semana3 probabilidad condicional-total
Semana3 probabilidad condicional-totalSemana3 probabilidad condicional-total
Semana3 probabilidad condicional-totalJorge Obando
 

More from Jorge Obando (20)

Semana15-Ginni
Semana15-GinniSemana15-Ginni
Semana15-Ginni
 
Descriptiva-Semana14
Descriptiva-Semana14Descriptiva-Semana14
Descriptiva-Semana14
 
Semana13-Semana11 rlm
Semana13-Semana11 rlmSemana13-Semana11 rlm
Semana13-Semana11 rlm
 
Descriptiva-Semana12RL
Descriptiva-Semana12RLDescriptiva-Semana12RL
Descriptiva-Semana12RL
 
Descriptiva-Semana9
Descriptiva-Semana9 Descriptiva-Semana9
Descriptiva-Semana9
 
Descriptiva-Semana8
Descriptiva-Semana8 Descriptiva-Semana8
Descriptiva-Semana8
 
Descriptiva-Semana7
Descriptiva-Semana7Descriptiva-Semana7
Descriptiva-Semana7
 
Descriptiva-Semana4
Descriptiva-Semana4Descriptiva-Semana4
Descriptiva-Semana4
 
Descriptiva-Semana3
Descriptiva-Semana3Descriptiva-Semana3
Descriptiva-Semana3
 
Descriptiva-Semana2
Descriptiva-Semana2Descriptiva-Semana2
Descriptiva-Semana2
 
Expo solo-Semana1
Expo solo-Semana1Expo solo-Semana1
Expo solo-Semana1
 
Hipotesis2 chicuadrado
Hipotesis2 chicuadradoHipotesis2 chicuadrado
Hipotesis2 chicuadrado
 
Hipotesis2 grupos dependientes
Hipotesis2 grupos dependientesHipotesis2 grupos dependientes
Hipotesis2 grupos dependientes
 
Hipotesis2 grupos independientes
Hipotesis2 grupos independientesHipotesis2 grupos independientes
Hipotesis2 grupos independientes
 
Seman12 hipotesis2-grupos
Seman12  hipotesis2-gruposSeman12  hipotesis2-grupos
Seman12 hipotesis2-grupos
 
Pruebasdehipotesis semana10
Pruebasdehipotesis semana10Pruebasdehipotesis semana10
Pruebasdehipotesis semana10
 
Semana9 ic
Semana9 icSemana9 ic
Semana9 ic
 
Semana7 dn
Semana7 dnSemana7 dn
Semana7 dn
 
Semana4 teoremade bayes
Semana4 teoremade bayesSemana4 teoremade bayes
Semana4 teoremade bayes
 
Semana3 probabilidad condicional-total
Semana3 probabilidad condicional-totalSemana3 probabilidad condicional-total
Semana3 probabilidad condicional-total
 

Recently uploaded

Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxOH TEIK BIN
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfchloefrazer622
 
MENTAL STATUS EXAMINATION format.docx
MENTAL     STATUS EXAMINATION format.docxMENTAL     STATUS EXAMINATION format.docx
MENTAL STATUS EXAMINATION format.docxPoojaSen20
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docxPoojaSen20
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application ) Sakshi Ghasle
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAssociation for Project Management
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
 
Micromeritics - Fundamental and Derived Properties of Powders
Micromeritics - Fundamental and Derived Properties of PowdersMicromeritics - Fundamental and Derived Properties of Powders
Micromeritics - Fundamental and Derived Properties of PowdersChitralekhaTherkar
 
URLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppURLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppCeline George
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptxVS Mahajan Coaching Centre
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentInMediaRes1
 

Recently uploaded (20)

Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptx
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdf
 
MENTAL STATUS EXAMINATION format.docx
MENTAL     STATUS EXAMINATION format.docxMENTAL     STATUS EXAMINATION format.docx
MENTAL STATUS EXAMINATION format.docx
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docx
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application )
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across Sectors
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
 
Micromeritics - Fundamental and Derived Properties of Powders
Micromeritics - Fundamental and Derived Properties of PowdersMicromeritics - Fundamental and Derived Properties of Powders
Micromeritics - Fundamental and Derived Properties of Powders
 
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
URLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website AppURLs and Routing in the Odoo 17 Website App
URLs and Routing in the Odoo 17 Website App
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media Component
 

Semana5 modelos

  • 1. “Modelos probabilisticos” Dr. Jorge Alejandro Obando Bastidas
  • 2. Función de probabilidad Los valores que toma una v.a. discreta X y sus correspondientes probabilidades suelen disponerse en una tabla con dos filas o dos columnas llamada tabla de distribución de probabilidad: Toda función de probabilidad se verifica que P1 + P2 + P3 + …. + Pn = 1
  • 3. Media Desviación Estándar La distribución de probabilidad de una v.a. X viene dada por la siguiente tabla: ¿Cuánto vale P(x=3)? Calcula la media y varianza EJEMPLO
  • 5. En cada prueba del experimento sólo son posibles dos resultados: el suceso A (éxito) y su contrario P éxito es grande La distribución binomial 1 2 3 4 5 La probabilidad del suceso A es constante, es decir, que no varía de una prueba a otra. Se representa por p. El resultado obtenido en cada prueba es independiente de los resultados obtenidos anteriormente. Las muestras son pequeñas Modelo matemático
  • 6. La última novela de un autor ha tenido un gran éxito, hasta el punto de que el 80% de los lectores ya la han leído. ¿Cuál es la probabilidad de que en el grupo hayan leído la novela 2 personas?¿Y como máximo 2? EJEMPLO Si un grupo de 4 amigos son aficionados a la lectura:
  • 7. Se envió un cargamento de 10.000 artículos a unos almacenes. Hallar el número esperado de artículos defectuosos, la varianza y la desviación típica. La probabilidad de que un artículo producido por una fabrica sea defectuoso es p 0.002 Ejemplo
  • 8. Un agente de seguros vende pólizas a cinco personas de la misma edad y que disfrutan de buena salud. Hállese la probabilidad de que, transcurridos 30 años, vivan: 1. Las cinco personas. 2.Al menos tres personas. 3.Exactamente dos personas. EJEMPLO Según las tablas actuales, la probabilidad de que una persona en estas condiciones viva 30 años o más es 2/3.
  • 9. Distribución discreta que modela el No. de eventos Distribución Hipergeometrica (es un evento o un no evento) En una muestra de tamaño fijo Al conocer el No. total de elementos en la población. Proveniente de la muestra Cada elemento con 2 resultados posibles
  • 10. Considerando que en la urna hay un total de 10 objetos, ¿cuál es la probabilidad de que 2 sean defectuosos? EJEMPLO 3 de los cuales son defectuosos, si se seleccionan 4 objetos al azar, Solución: N = 10 objetos en total a = 3 objetos defectuosos n = 4 objetos seleccionados en muestra x = 2 objetos defectuosos deseados en la muestra
  • 11. Distribución de Poisson La variable aleatoria discreta X Tiene valores posibles que son: 0,1,2… Tiene distribución Poisson con parámetro 𝜆 Se escribe: 𝑋 𝑃(𝜆) , si Su función de probabilidad es: 𝜆 = 𝑛 ∗ 𝑝
  • 12. a) Que no ocurra ningún accidente en un mes b) Que como máximo ocurran 2 accidentes en un mes c) Que ocurran 30 accidentes en un año d) que ocurran 8 accidentes en un trimestre En una empresa el término medio de accidentes es de 3 por mes. Calcular la probabilidad de: EJEMPLO
  • 13. Dr. Jorge Alejandro Obando Bastidas Jorge.obandob@campusucc.edu.co