SlideShare uma empresa Scribd logo
1 de 41
Probability Distributions Q U A N T T E C H I N T E U Q I A S E V I T 1 0 S
Contents ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Frequency Distributions (Again!) ,[object Object],[object Object],[object Object]
From Frequency Distributions to Probability Distributions ,[object Object],[object Object],[object Object],[object Object],[object Object]
Probability Distribution ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Prediction ,[object Object],[object Object],[object Object],[object Object],[object Object]
Models !
Basic Modelling Technique Toss a Coin;  Head or Tail How many Heads  in 10 Coin Tosses Chest Size of  Army Recruits Amount of  Protein in an Egg Number of Members in a Family Money spent by a family at multiplex Number of Defects per thousand Percentage of People who die before 30 Experimental Data  or observation Can be represented by a set of  random numbers That obeys certain rules .. 1 or 0 Integer between  0 and 10 Integer between  30 and 50 Any number  between 3 and 5 Integer between 0 and 10 Any positive number less than 2000 Integer between  0 and 5  Any number from 0 and 100
Random Variable ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Expected Value ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Expected Value / Mean
Tossing Coins
Bernoulli Random Variable ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],R=1 R=0 p q p+q=1 p Probability Cumulative probability
Physical Bernoulli Processes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Another Bernoulli Event ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Another Bernoulli Scenario ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Characteristics  of a Bernoulli Event ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Simulating a few Bernoulli Event ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Simulating  Many  Bernoulli Events
Tossing More Coins
Bernoulli to Binomial ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Binomial Random Variable ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Binomial Distribution : Experiment and Theory
Practical Considerations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Determination of the p value  –  the Bernoulli success  probability –  is very important  but equally difficult
Central Tendency & Dispersion of Binomial Distribution ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Impact of 'p' on Binomial Probability
Impact of 'n' on Binomial Probability
Arrivals
Poisson Distribution ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Poisson and Binomial ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Equivalence of Binomial & Poisson ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],The Poisson probability is a good approximation of the Binomial probability when the number of trials becomes very high Example : Events (“arrivals”) are happening every minute or second !
Bernoulli => Binomial => Poisson
Similarity of Processes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Poisson Distribution in terms of average number of events ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Poisson @ childbirth ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Two Hospitals ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Poisson Distribution ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Poisson Distribution ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Exponential Distribution Interval between two Arrivals ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Close Cousins in Randomness ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Modelling Queues

Mais conteúdo relacionado

Destaque

Chapter 05
Chapter 05Chapter 05
Chapter 05bmcfad01
 
Discrete Probability Distributions
Discrete  Probability DistributionsDiscrete  Probability Distributions
Discrete Probability DistributionsE-tan
 
Chapter 04
Chapter 04Chapter 04
Chapter 04bmcfad01
 
Binomial, Geometric and Poisson distributions in excel
Binomial, Geometric and Poisson distributions in excelBinomial, Geometric and Poisson distributions in excel
Binomial, Geometric and Poisson distributions in excelBrent Heard
 
Chapter 06
Chapter 06Chapter 06
Chapter 06bmcfad01
 
Probability distribution 2
Probability distribution 2Probability distribution 2
Probability distribution 2Nilanjan Bhaumik
 
Tutorial 6: Multiple Worksheets and Workbooks
Tutorial 6: Multiple Worksheets and WorkbooksTutorial 6: Multiple Worksheets and Workbooks
Tutorial 6: Multiple Worksheets and Workbookscios135
 
Probability Distributions
Probability DistributionsProbability Distributions
Probability Distributionsrishi.indian
 
Discrete and continuous probability distributions ppt @ bec doms
Discrete and continuous probability distributions ppt @ bec domsDiscrete and continuous probability distributions ppt @ bec doms
Discrete and continuous probability distributions ppt @ bec domsBabasab Patil
 
Tutorial 4 Charts and Graphs
Tutorial 4 Charts and GraphsTutorial 4 Charts and Graphs
Tutorial 4 Charts and Graphscios135
 
Tutorial 5: Excel Tables, PivotTables, and Pivot Charts
Tutorial 5: Excel Tables, PivotTables, and Pivot ChartsTutorial 5: Excel Tables, PivotTables, and Pivot Charts
Tutorial 5: Excel Tables, PivotTables, and Pivot Chartscios135
 
Tutorial 3 Working with Formulas and Functions
Tutorial 3 Working with Formulas and FunctionsTutorial 3 Working with Formulas and Functions
Tutorial 3 Working with Formulas and Functionscios135
 
Time Series Analysis - Modeling and Forecasting
Time Series Analysis - Modeling and ForecastingTime Series Analysis - Modeling and Forecasting
Time Series Analysis - Modeling and ForecastingMaruthi Nataraj K
 
Tutorial 7: Advanced Functions and Conitional Formating
Tutorial 7: Advanced Functions and Conitional FormatingTutorial 7: Advanced Functions and Conitional Formating
Tutorial 7: Advanced Functions and Conitional Formatingcios135
 
STATA - Time Series Analysis
STATA - Time Series AnalysisSTATA - Time Series Analysis
STATA - Time Series Analysisstata_org_uk
 
Binomial and Poission Probablity distribution
Binomial and Poission Probablity distributionBinomial and Poission Probablity distribution
Binomial and Poission Probablity distributionPrateek Singla
 
Probability ppt by Shivansh J.
Probability ppt by Shivansh J.Probability ppt by Shivansh J.
Probability ppt by Shivansh J.shivujagga
 

Destaque (19)

Chapter 05
Chapter 05Chapter 05
Chapter 05
 
Permutations and combinations
Permutations and combinationsPermutations and combinations
Permutations and combinations
 
Discrete Probability Distributions
Discrete  Probability DistributionsDiscrete  Probability Distributions
Discrete Probability Distributions
 
Chapter 04
Chapter 04Chapter 04
Chapter 04
 
Binomial, Geometric and Poisson distributions in excel
Binomial, Geometric and Poisson distributions in excelBinomial, Geometric and Poisson distributions in excel
Binomial, Geometric and Poisson distributions in excel
 
Chapter 06
Chapter 06Chapter 06
Chapter 06
 
Probability distribution 2
Probability distribution 2Probability distribution 2
Probability distribution 2
 
Tutorial 6: Multiple Worksheets and Workbooks
Tutorial 6: Multiple Worksheets and WorkbooksTutorial 6: Multiple Worksheets and Workbooks
Tutorial 6: Multiple Worksheets and Workbooks
 
Probability Distributions
Probability DistributionsProbability Distributions
Probability Distributions
 
Discrete and continuous probability distributions ppt @ bec doms
Discrete and continuous probability distributions ppt @ bec domsDiscrete and continuous probability distributions ppt @ bec doms
Discrete and continuous probability distributions ppt @ bec doms
 
Tutorial 4 Charts and Graphs
Tutorial 4 Charts and GraphsTutorial 4 Charts and Graphs
Tutorial 4 Charts and Graphs
 
Tutorial 5: Excel Tables, PivotTables, and Pivot Charts
Tutorial 5: Excel Tables, PivotTables, and Pivot ChartsTutorial 5: Excel Tables, PivotTables, and Pivot Charts
Tutorial 5: Excel Tables, PivotTables, and Pivot Charts
 
Tutorial 3 Working with Formulas and Functions
Tutorial 3 Working with Formulas and FunctionsTutorial 3 Working with Formulas and Functions
Tutorial 3 Working with Formulas and Functions
 
Time Series Analysis - Modeling and Forecasting
Time Series Analysis - Modeling and ForecastingTime Series Analysis - Modeling and Forecasting
Time Series Analysis - Modeling and Forecasting
 
Tutorial 7: Advanced Functions and Conitional Formating
Tutorial 7: Advanced Functions and Conitional FormatingTutorial 7: Advanced Functions and Conitional Formating
Tutorial 7: Advanced Functions and Conitional Formating
 
Time series slideshare
Time series slideshareTime series slideshare
Time series slideshare
 
STATA - Time Series Analysis
STATA - Time Series AnalysisSTATA - Time Series Analysis
STATA - Time Series Analysis
 
Binomial and Poission Probablity distribution
Binomial and Poission Probablity distributionBinomial and Poission Probablity distribution
Binomial and Poission Probablity distribution
 
Probability ppt by Shivansh J.
Probability ppt by Shivansh J.Probability ppt by Shivansh J.
Probability ppt by Shivansh J.
 

Mais de Prithwis Mukerjee

Bitcoin, Blockchain and the Crypto Contracts - Part 2
Bitcoin, Blockchain and the Crypto Contracts - Part 2Bitcoin, Blockchain and the Crypto Contracts - Part 2
Bitcoin, Blockchain and the Crypto Contracts - Part 2Prithwis Mukerjee
 
Bitcoin, Blockchain and Crypto Contracts - Part 3
Bitcoin, Blockchain and Crypto Contracts - Part 3Bitcoin, Blockchain and Crypto Contracts - Part 3
Bitcoin, Blockchain and Crypto Contracts - Part 3Prithwis Mukerjee
 
Currency, Commodity and Bitcoins
Currency, Commodity and BitcoinsCurrency, Commodity and Bitcoins
Currency, Commodity and BitcoinsPrithwis Mukerjee
 
04 Dimensional Analysis - v6
04 Dimensional Analysis - v604 Dimensional Analysis - v6
04 Dimensional Analysis - v6Prithwis Mukerjee
 
World of data @ praxis 2013 v2
World of data   @ praxis 2013  v2World of data   @ praxis 2013  v2
World of data @ praxis 2013 v2Prithwis Mukerjee
 
BIS 08a - Application Development - II Version 2
BIS 08a - Application Development - II Version 2BIS 08a - Application Development - II Version 2
BIS 08a - Application Development - II Version 2Prithwis Mukerjee
 
Lecture02 - Data Mining & Analytics
Lecture02 - Data Mining & AnalyticsLecture02 - Data Mining & Analytics
Lecture02 - Data Mining & AnalyticsPrithwis Mukerjee
 
ইন্টার্নেট কি এবং কেন ?
ইন্টার্নেট কি এবং কেন ?ইন্টার্নেট কি এবং কেন ?
ইন্টার্নেট কি এবং কেন ?Prithwis Mukerjee
 
Data mining clustering-2009-v0
Data mining clustering-2009-v0Data mining clustering-2009-v0
Data mining clustering-2009-v0Prithwis Mukerjee
 
Data mining classification-2009-v0
Data mining classification-2009-v0Data mining classification-2009-v0
Data mining classification-2009-v0Prithwis Mukerjee
 
Business Intelligence Industry Perspective Session I
Business Intelligence   Industry Perspective Session IBusiness Intelligence   Industry Perspective Session I
Business Intelligence Industry Perspective Session IPrithwis Mukerjee
 

Mais de Prithwis Mukerjee (20)

Bitcoin, Blockchain and the Crypto Contracts - Part 2
Bitcoin, Blockchain and the Crypto Contracts - Part 2Bitcoin, Blockchain and the Crypto Contracts - Part 2
Bitcoin, Blockchain and the Crypto Contracts - Part 2
 
Bitcoin, Blockchain and Crypto Contracts - Part 3
Bitcoin, Blockchain and Crypto Contracts - Part 3Bitcoin, Blockchain and Crypto Contracts - Part 3
Bitcoin, Blockchain and Crypto Contracts - Part 3
 
Internet of Things
Internet of ThingsInternet of Things
Internet of Things
 
Thought controlled devices
Thought controlled devicesThought controlled devices
Thought controlled devices
 
Cloudcasting
CloudcastingCloudcasting
Cloudcasting
 
Currency, Commodity and Bitcoins
Currency, Commodity and BitcoinsCurrency, Commodity and Bitcoins
Currency, Commodity and Bitcoins
 
Data Science
Data ScienceData Science
Data Science
 
05 OLAP v6 weekend
05 OLAP  v6 weekend05 OLAP  v6 weekend
05 OLAP v6 weekend
 
04 Dimensional Analysis - v6
04 Dimensional Analysis - v604 Dimensional Analysis - v6
04 Dimensional Analysis - v6
 
Thought control
Thought controlThought control
Thought control
 
World of data @ praxis 2013 v2
World of data   @ praxis 2013  v2World of data   @ praxis 2013  v2
World of data @ praxis 2013 v2
 
BIS 08a - Application Development - II Version 2
BIS 08a - Application Development - II Version 2BIS 08a - Application Development - II Version 2
BIS 08a - Application Development - II Version 2
 
Lecture02 - Data Mining & Analytics
Lecture02 - Data Mining & AnalyticsLecture02 - Data Mining & Analytics
Lecture02 - Data Mining & Analytics
 
ইন্টার্নেট কি এবং কেন ?
ইন্টার্নেট কি এবং কেন ?ইন্টার্নেট কি এবং কেন ?
ইন্টার্নেট কি এবং কেন ?
 
Data mining clustering-2009-v0
Data mining clustering-2009-v0Data mining clustering-2009-v0
Data mining clustering-2009-v0
 
Data mining classification-2009-v0
Data mining classification-2009-v0Data mining classification-2009-v0
Data mining classification-2009-v0
 
Data mining arm-2009-v0
Data mining arm-2009-v0Data mining arm-2009-v0
Data mining arm-2009-v0
 
Data mining intro-2009-v2
Data mining intro-2009-v2Data mining intro-2009-v2
Data mining intro-2009-v2
 
PPM Lite
PPM LitePPM Lite
PPM Lite
 
Business Intelligence Industry Perspective Session I
Business Intelligence   Industry Perspective Session IBusiness Intelligence   Industry Perspective Session I
Business Intelligence Industry Perspective Session I
 

Último

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
 
Transaction Management in Database Management System
Transaction Management in Database Management SystemTransaction Management in Database Management System
Transaction Management in Database Management SystemChristalin Nelson
 
Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Seán Kennedy
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...Nguyen Thanh Tu Collection
 
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
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4JOYLYNSAMANIEGO
 
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
 
Active Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfActive Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfPatidar M
 
Food processing presentation for bsc agriculture hons
Food processing presentation for bsc agriculture honsFood processing presentation for bsc agriculture hons
Food processing presentation for bsc agriculture honsManeerUddin
 
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
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxAshokKarra1
 
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptxAUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptxiammrhaywood
 
4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptx4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptxmary850239
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxiammrhaywood
 
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
 
ROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxVanesaIglesias10
 
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
 
Integumentary System SMP B. Pharm Sem I.ppt
Integumentary System SMP B. Pharm Sem I.pptIntegumentary System SMP B. Pharm Sem I.ppt
Integumentary System SMP B. Pharm Sem I.pptshraddhaparab530
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designMIPLM
 

Último (20)

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
 
Transaction Management in Database Management System
Transaction Management in Database Management SystemTransaction Management in Database Management System
Transaction Management in Database Management System
 
Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...Student Profile Sample - We help schools to connect the data they have, with ...
Student Profile Sample - We help schools to connect the data they have, with ...
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
 
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
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4
 
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
 
Active Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfActive Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdf
 
Food processing presentation for bsc agriculture hons
Food processing presentation for bsc agriculture honsFood processing presentation for bsc agriculture hons
Food processing presentation for bsc agriculture hons
 
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
 
Karra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptxKarra SKD Conference Presentation Revised.pptx
Karra SKD Conference Presentation Revised.pptx
 
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptxAUDIENCE THEORY -CULTIVATION THEORY -  GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
 
4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptx4.16.24 Poverty and Precarity--Desmond.pptx
4.16.24 Poverty and Precarity--Desmond.pptx
 
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptxFINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
FINALS_OF_LEFT_ON_C'N_EL_DORADO_2024.pptx
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
 
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
 
ROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptx
 
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
 
Integumentary System SMP B. Pharm Sem I.ppt
Integumentary System SMP B. Pharm Sem I.pptIntegumentary System SMP B. Pharm Sem I.ppt
Integumentary System SMP B. Pharm Sem I.ppt
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-design
 

QT1 - 05 - Probability Distributions