SlideShare a Scribd company logo
1 of 17
Prepared by: 
Jenny Ann G. Gregana
What is Statistics? 
 
The purpose of statistics is to develop and 
apply methodology for extracting useful 
knowledge from both experiments and data. 
In addition to its fundamental role in data 
analysis, statistical reasoning is also extremely 
useful in data collection (design of 
experiments and surveys) and also in guiding 
proper scientific inference (Fisher, 1990).
What is Statistics? 
 
Statistics is neither really a science nor 
a branch of mathematics. It is perhaps 
best considered as a meta-science (or 
meta-language) for dealing with data 
collection, analysis, and interpretation. 
As such its scope is enormous and it 
provides much guiding insight in 
many branches of science, business.
Brief History of Statistics 
 
 The Word statistics have been derived from Latin word 
“Status” or the Italian word “Statista”, meaning of these 
words is “Political State” or a Government. 
 Shakespeare used a word Statist is his drama Hamlet 
(1602). In the past, the statistics was used by rulers. 
 The application of statistics was very limited but rulers 
and kings needed information about lands, agriculture, 
commerce, population of their states to assess their 
military potential, their wealth, taxation and other aspects 
of government.
Brief History of Statistics 
 
Basic forms of statistics have been used since 
the beginning of civilization. Early empires 
often collated censuses of the population or 
recorded the trade in various commodities. 
The Roman Empire was one of the first states 
to extensively gather data on the size of the 
empire's population, geographical area and 
wealth.
Brief History of Statistics 
 
During the 20th century several 
statistician are active in developing 
new methods, theories and application 
of statistics. 
 Now these days the availability of 
electronics computers is certainly a 
major factor in the modern 
development of statistics.
History of Statistics 
 
Time Contributor Contribution 
Ancient Greece Philosophers Ideas - no quantitative analyses 
17th Century 
Graunt, Petty 
Pascal, Bernoulli 
studied affairs of state, vital statistics of 
populations 
studied probability through games of 
chance, gambling 
18th Century Laplace, Gauss 
normal curve, regression through study 
of astronomy 
Timeline
History of Statistics 
Timeline 
 
19th Century 
Quetelet 
Galton 
astronomer who first 
applied statistical 
analyses to human 
biology 
studied genetic 
variation in 
humans(used 
regression and 
correlation)
History of Statistics 
 
20th Century 
(early) 
Pearson 
Gossett 
(Student) 
Fisher 
studied natural selection using 
correlation, formed first 
academic department of 
statistics, Biometrika journal, 
helped develop the Chi Square 
analysis 
studied process of brewing, 
alerted the statistics community 
about problems with small 
sample sizes, developed 
Student's test 
evolutionary biologists - 
developed ANOVA, stressed the 
importance of experimental 
design 
Timeline
 
20th Century 
(later) 
Wilcoxon 
Kruskal, Wallis 
Spearman 
Kendall 
Tukey 
Dunnett 
Keuls 
Computer 
Technology 
biochemist studied pesticides, non-parametric 
equivalent of two-samples 
test 
economists who developed the non-parametric 
equivalent of the 
ANOVA 
psychologist who developed a non-parametric 
equivalent of the correlation 
coefficient 
statistician who developed another non-parametric 
equivalent the correlation 
coefficient 
statistician who developed multiple 
comparisons procedure 
biochemist who studied pesticides, 
developed multiple comparisons 
procedure for control groups 
agronomist who developed multiple 
comparisons procedure 
provided many advantages over 
calculations by hand or by calculator, 
stimulated the growth of investigation 
into new techniques
 Statisticians 
Sir William Petty 
-a 17th-century 
economist who 
used early 
statistical methods 
to analyze 
demographic data.
 Statisticians 
 Carl Friedrich Gauss, 
-mathematician 
who developed 
the method of 
least squares in 
1809.
 Statisticians 
Karl Pearson, 
the founder of 
mathematical 
statistics.
 Statisticians 
Ronald Fisher 
"A genius who 
almost single-handedly 
created 
the foundations for 
modern statistical 
science",
 Statisticians 
James Lind 
-carried out the 
first ever clinical 
trial in 1747, in an 
effort to find a 
treatment for 
scurvy.
 Statisticians 
Pierre-Simon 
-marquis de 
Laplace, one of the 
main early 
developers of 
Bayesian statistics.
 
Merci Beaucoup

More Related Content

What's hot

Research instrument
Research instrumentResearch instrument
Research instrumentMhaye Barile
 
Introduction to statistical terms
Introduction to statistical termsIntroduction to statistical terms
Introduction to statistical termsDr Bryan Mills
 
Introduction to statistics for social sciences 1
Introduction to statistics for social sciences 1Introduction to statistics for social sciences 1
Introduction to statistics for social sciences 1Minal Jadeja
 
Detailed Lesson Plan on Measures of Variability of Grouped and Ungrouped Data
Detailed Lesson Plan on Measures of Variability of Grouped and Ungrouped DataDetailed Lesson Plan on Measures of Variability of Grouped and Ungrouped Data
Detailed Lesson Plan on Measures of Variability of Grouped and Ungrouped DataJunila Tejada
 
Method of research
Method of researchMethod of research
Method of researchHalal Eeknay
 
Descriptive Research Method
Descriptive Research MethodDescriptive Research Method
Descriptive Research MethodRenu Sharma
 
Basic Statistical Concepts and Methods
Basic Statistical Concepts and MethodsBasic Statistical Concepts and Methods
Basic Statistical Concepts and MethodsAhmed-Refat Refat
 
Lesson 26 presenting and interpreting data in tabular and graphical froms
Lesson 26 presenting and interpreting data in tabular and graphical fromsLesson 26 presenting and interpreting data in tabular and graphical froms
Lesson 26 presenting and interpreting data in tabular and graphical fromsmjlobetos
 
Sampling distribution
Sampling distributionSampling distribution
Sampling distributionswarna dey
 
Research methodology
Research methodologyResearch methodology
Research methodologyMohit Chauhan
 
Statistical tools in research
Statistical tools in researchStatistical tools in research
Statistical tools in researchShubhrat Sharma
 
Introduction to Statistics - Basic concepts
Introduction to Statistics - Basic conceptsIntroduction to Statistics - Basic concepts
Introduction to Statistics - Basic conceptsDocIbrahimAbdelmonaem
 
An Overview of Chapter 3 - Research Methodology
An Overview of Chapter 3 - Research MethodologyAn Overview of Chapter 3 - Research Methodology
An Overview of Chapter 3 - Research Methodologyschool
 
Measures of central tendency (ungrouped data)
Measures of central tendency (ungrouped data)Measures of central tendency (ungrouped data)
Measures of central tendency (ungrouped data)LilianneSoriano
 
Statistical treatment and data processing copy
Statistical treatment and data processing   copyStatistical treatment and data processing   copy
Statistical treatment and data processing copySWEET PEARL GAMAYON
 

What's hot (20)

STATISTICAL TOOLS IN RESEARCH
STATISTICAL TOOLS IN RESEARCHSTATISTICAL TOOLS IN RESEARCH
STATISTICAL TOOLS IN RESEARCH
 
Data gathering
Data gatheringData gathering
Data gathering
 
Research instrument
Research instrumentResearch instrument
Research instrument
 
Introduction to statistical terms
Introduction to statistical termsIntroduction to statistical terms
Introduction to statistical terms
 
Statistics and probability lesson 1
Statistics and probability lesson 1Statistics and probability lesson 1
Statistics and probability lesson 1
 
Elementary Statistics
Elementary Statistics Elementary Statistics
Elementary Statistics
 
Introduction to statistics for social sciences 1
Introduction to statistics for social sciences 1Introduction to statistics for social sciences 1
Introduction to statistics for social sciences 1
 
Detailed Lesson Plan on Measures of Variability of Grouped and Ungrouped Data
Detailed Lesson Plan on Measures of Variability of Grouped and Ungrouped DataDetailed Lesson Plan on Measures of Variability of Grouped and Ungrouped Data
Detailed Lesson Plan on Measures of Variability of Grouped and Ungrouped Data
 
Method of research
Method of researchMethod of research
Method of research
 
Descriptive Research Method
Descriptive Research MethodDescriptive Research Method
Descriptive Research Method
 
Basic Statistical Concepts and Methods
Basic Statistical Concepts and MethodsBasic Statistical Concepts and Methods
Basic Statistical Concepts and Methods
 
Lesson 26 presenting and interpreting data in tabular and graphical froms
Lesson 26 presenting and interpreting data in tabular and graphical fromsLesson 26 presenting and interpreting data in tabular and graphical froms
Lesson 26 presenting and interpreting data in tabular and graphical froms
 
Sampling distribution
Sampling distributionSampling distribution
Sampling distribution
 
History of statistics
History of statisticsHistory of statistics
History of statistics
 
Research methodology
Research methodologyResearch methodology
Research methodology
 
Statistical tools in research
Statistical tools in researchStatistical tools in research
Statistical tools in research
 
Introduction to Statistics - Basic concepts
Introduction to Statistics - Basic conceptsIntroduction to Statistics - Basic concepts
Introduction to Statistics - Basic concepts
 
An Overview of Chapter 3 - Research Methodology
An Overview of Chapter 3 - Research MethodologyAn Overview of Chapter 3 - Research Methodology
An Overview of Chapter 3 - Research Methodology
 
Measures of central tendency (ungrouped data)
Measures of central tendency (ungrouped data)Measures of central tendency (ungrouped data)
Measures of central tendency (ungrouped data)
 
Statistical treatment and data processing copy
Statistical treatment and data processing   copyStatistical treatment and data processing   copy
Statistical treatment and data processing copy
 

Viewers also liked

Introduction to statistics...ppt rahul
Introduction to statistics...ppt rahulIntroduction to statistics...ppt rahul
Introduction to statistics...ppt rahulRahul Dhaker
 
The Right Answers to the Wrong Questions
The Right Answers to the Wrong QuestionsThe Right Answers to the Wrong Questions
The Right Answers to the Wrong QuestionsLiliana Davalos
 
Statistics ppt
Statistics pptStatistics ppt
Statistics pptelle
 
Statistics
StatisticsStatistics
Statisticspikuoec
 
Introduction to statistics
Introduction to statisticsIntroduction to statistics
Introduction to statisticsmadan kumar
 
Introduction To Statistics
Introduction To StatisticsIntroduction To Statistics
Introduction To Statisticsalbertlaporte
 

Viewers also liked (8)

Introduction to statistics...ppt rahul
Introduction to statistics...ppt rahulIntroduction to statistics...ppt rahul
Introduction to statistics...ppt rahul
 
Statistical ppt
Statistical pptStatistical ppt
Statistical ppt
 
The Right Answers to the Wrong Questions
The Right Answers to the Wrong QuestionsThe Right Answers to the Wrong Questions
The Right Answers to the Wrong Questions
 
Statistics ppt
Statistics pptStatistics ppt
Statistics ppt
 
What Is Statistics
What Is StatisticsWhat Is Statistics
What Is Statistics
 
Statistics
StatisticsStatistics
Statistics
 
Introduction to statistics
Introduction to statisticsIntroduction to statistics
Introduction to statistics
 
Introduction To Statistics
Introduction To StatisticsIntroduction To Statistics
Introduction To Statistics
 

Similar to Statistics

Introduction to Elementary statistics
Introduction to Elementary statisticsIntroduction to Elementary statistics
Introduction to Elementary statisticskrizza joy dela cruz
 
Brief-History-of-Statistics.pptx
Brief-History-of-Statistics.pptxBrief-History-of-Statistics.pptx
Brief-History-of-Statistics.pptxGyanneeePtrs
 
Development of statistics
Development of  statisticsDevelopment of  statistics
Development of statisticsKM Tanvir
 
What is the Major Power Linking Statistics & Data Mining? November 2013
What is the Major Power Linking Statistics & Data Mining? November 2013 What is the Major Power Linking Statistics & Data Mining? November 2013
What is the Major Power Linking Statistics & Data Mining? November 2013 Soaad Abd El-Badie
 
What is the major power linking statistics & data mining
What is the major power linking statistics & data miningWhat is the major power linking statistics & data mining
What is the major power linking statistics & data miningIJDKP
 
Unit 001Stats (1).pdf
Unit 001Stats (1).pdfUnit 001Stats (1).pdf
Unit 001Stats (1).pdfSubratSingh23
 
Figures of the Many - Quantitative Concepts for Qualitative Thinking
Figures of the Many - Quantitative Concepts for Qualitative ThinkingFigures of the Many - Quantitative Concepts for Qualitative Thinking
Figures of the Many - Quantitative Concepts for Qualitative ThinkingBernhard Rieder
 
HISTORY AND DEVELOPMENT OF SOCIAL SCIENCE.pptx
HISTORY AND DEVELOPMENT OF SOCIAL SCIENCE.pptxHISTORY AND DEVELOPMENT OF SOCIAL SCIENCE.pptx
HISTORY AND DEVELOPMENT OF SOCIAL SCIENCE.pptxMaryJaneARivera
 
GROUP-1-THE-EMERGENCE-OF-SOCIAL-SCIENCE.pptx
GROUP-1-THE-EMERGENCE-OF-SOCIAL-SCIENCE.pptxGROUP-1-THE-EMERGENCE-OF-SOCIAL-SCIENCE.pptx
GROUP-1-THE-EMERGENCE-OF-SOCIAL-SCIENCE.pptxJohnDao12
 
Maths in daily life
Maths in daily lifeMaths in daily life
Maths in daily lifeLavanya
 
lecture_5_positivism_sociology_2018.pptx
lecture_5_positivism_sociology_2018.pptxlecture_5_positivism_sociology_2018.pptx
lecture_5_positivism_sociology_2018.pptxNaderElashry2
 
ECO-409-class_one.pptxhrhurutgtututu8yhyyyhyt
ECO-409-class_one.pptxhrhurutgtututu8yhyyyhytECO-409-class_one.pptxhrhurutgtututu8yhyyyhyt
ECO-409-class_one.pptxhrhurutgtututu8yhyyyhytMisterPhilips
 
Quantitative revolution and phenomenology
Quantitative revolution and phenomenologyQuantitative revolution and phenomenology
Quantitative revolution and phenomenologyAsrafulMandal
 
Application of the war of attrition
Application of the war of attritionApplication of the war of attrition
Application of the war of attritionijgttjournal
 
Lesson 1. Introduction to social science with natural sciences and humanities
Lesson 1. Introduction to social science with natural sciences and humanitiesLesson 1. Introduction to social science with natural sciences and humanities
Lesson 1. Introduction to social science with natural sciences and humanitiesKokoStevan
 
Gut Feeling or Facts? Revisiting the Relationship between Science and Politics.
Gut Feeling or Facts? Revisiting the Relationship between Science and Politics.Gut Feeling or Facts? Revisiting the Relationship between Science and Politics.
Gut Feeling or Facts? Revisiting the Relationship between Science and Politics.Yannek Karim Adams
 

Similar to Statistics (20)

origin.pptx
origin.pptxorigin.pptx
origin.pptx
 
Introduction to Elementary statistics
Introduction to Elementary statisticsIntroduction to Elementary statistics
Introduction to Elementary statistics
 
Brief-History-of-Statistics.pptx
Brief-History-of-Statistics.pptxBrief-History-of-Statistics.pptx
Brief-History-of-Statistics.pptx
 
Development of statistics
Development of  statisticsDevelopment of  statistics
Development of statistics
 
What is the Major Power Linking Statistics & Data Mining? November 2013
What is the Major Power Linking Statistics & Data Mining? November 2013 What is the Major Power Linking Statistics & Data Mining? November 2013
What is the Major Power Linking Statistics & Data Mining? November 2013
 
What is the major power linking statistics & data mining
What is the major power linking statistics & data miningWhat is the major power linking statistics & data mining
What is the major power linking statistics & data mining
 
Unit 001Stats (1).pdf
Unit 001Stats (1).pdfUnit 001Stats (1).pdf
Unit 001Stats (1).pdf
 
Figures of the Many - Quantitative Concepts for Qualitative Thinking
Figures of the Many - Quantitative Concepts for Qualitative ThinkingFigures of the Many - Quantitative Concepts for Qualitative Thinking
Figures of the Many - Quantitative Concepts for Qualitative Thinking
 
HISTORY AND DEVELOPMENT OF SOCIAL SCIENCE.pptx
HISTORY AND DEVELOPMENT OF SOCIAL SCIENCE.pptxHISTORY AND DEVELOPMENT OF SOCIAL SCIENCE.pptx
HISTORY AND DEVELOPMENT OF SOCIAL SCIENCE.pptx
 
GROUP-1-THE-EMERGENCE-OF-SOCIAL-SCIENCE.pptx
GROUP-1-THE-EMERGENCE-OF-SOCIAL-SCIENCE.pptxGROUP-1-THE-EMERGENCE-OF-SOCIAL-SCIENCE.pptx
GROUP-1-THE-EMERGENCE-OF-SOCIAL-SCIENCE.pptx
 
Maths in daily life
Maths in daily lifeMaths in daily life
Maths in daily life
 
History of statistics.pdf
History of statistics.pdfHistory of statistics.pdf
History of statistics.pdf
 
lecture_5_positivism_sociology_2018.pptx
lecture_5_positivism_sociology_2018.pptxlecture_5_positivism_sociology_2018.pptx
lecture_5_positivism_sociology_2018.pptx
 
ECO-409-class_one.pptxhrhurutgtututu8yhyyyhyt
ECO-409-class_one.pptxhrhurutgtututu8yhyyyhytECO-409-class_one.pptxhrhurutgtututu8yhyyyhyt
ECO-409-class_one.pptxhrhurutgtututu8yhyyyhyt
 
Quantitative revolution and phenomenology
Quantitative revolution and phenomenologyQuantitative revolution and phenomenology
Quantitative revolution and phenomenology
 
Module 1.pptx
Module 1.pptxModule 1.pptx
Module 1.pptx
 
Application of the war of attrition
Application of the war of attritionApplication of the war of attrition
Application of the war of attrition
 
maths
mathsmaths
maths
 
Lesson 1. Introduction to social science with natural sciences and humanities
Lesson 1. Introduction to social science with natural sciences and humanitiesLesson 1. Introduction to social science with natural sciences and humanities
Lesson 1. Introduction to social science with natural sciences and humanities
 
Gut Feeling or Facts? Revisiting the Relationship between Science and Politics.
Gut Feeling or Facts? Revisiting the Relationship between Science and Politics.Gut Feeling or Facts? Revisiting the Relationship between Science and Politics.
Gut Feeling or Facts? Revisiting the Relationship between Science and Politics.
 

More from Jen Gregana

Politikal na Ideolohiya
Politikal na IdeolohiyaPolitikal na Ideolohiya
Politikal na IdeolohiyaJen Gregana
 
Panahon ng vedic
Panahon ng vedicPanahon ng vedic
Panahon ng vedicJen Gregana
 
Sinkiang or Xinjiang
Sinkiang or XinjiangSinkiang or Xinjiang
Sinkiang or XinjiangJen Gregana
 
Multiple Choice Test
Multiple Choice TestMultiple Choice Test
Multiple Choice TestJen Gregana
 
Ang pinagmulan ng tao
Ang pinagmulan ng taoAng pinagmulan ng tao
Ang pinagmulan ng taoJen Gregana
 

More from Jen Gregana (6)

Politikal na Ideolohiya
Politikal na IdeolohiyaPolitikal na Ideolohiya
Politikal na Ideolohiya
 
Panahon ng vedic
Panahon ng vedicPanahon ng vedic
Panahon ng vedic
 
Sinkiang or Xinjiang
Sinkiang or XinjiangSinkiang or Xinjiang
Sinkiang or Xinjiang
 
Tibet
TibetTibet
Tibet
 
Multiple Choice Test
Multiple Choice TestMultiple Choice Test
Multiple Choice Test
 
Ang pinagmulan ng tao
Ang pinagmulan ng taoAng pinagmulan ng tao
Ang pinagmulan ng tao
 

Recently uploaded

ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701bronxfugly43
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfAdmir Softic
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfSherif Taha
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.pptRamjanShidvankar
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxVishalSingh1417
 
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxEsquimalt MFRC
 
Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...Association for Project Management
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17Celine George
 
Fostering Friendships - Enhancing Social Bonds in the Classroom
Fostering Friendships - Enhancing Social Bonds  in the ClassroomFostering Friendships - Enhancing Social Bonds  in the Classroom
Fostering Friendships - Enhancing Social Bonds in the ClassroomPooky Knightsmith
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.christianmathematics
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfPoh-Sun Goh
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxVishalSingh1417
 
Salient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functionsSalient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functionsKarakKing
 
Vishram Singh - Textbook of Anatomy Upper Limb and Thorax.. Volume 1 (1).pdf
Vishram Singh - Textbook of Anatomy  Upper Limb and Thorax.. Volume 1 (1).pdfVishram Singh - Textbook of Anatomy  Upper Limb and Thorax.. Volume 1 (1).pdf
Vishram Singh - Textbook of Anatomy Upper Limb and Thorax.. Volume 1 (1).pdfssuserdda66b
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptxMaritesTamaniVerdade
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...Poonam Aher Patil
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibitjbellavia9
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfNirmal Dwivedi
 
Dyslexia AI Workshop for Slideshare.pptx
Dyslexia AI Workshop for Slideshare.pptxDyslexia AI Workshop for Slideshare.pptx
Dyslexia AI Workshop for Slideshare.pptxcallscotland1987
 

Recently uploaded (20)

ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701ComPTIA Overview | Comptia Security+ Book SY0-701
ComPTIA Overview | Comptia Security+ Book SY0-701
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 
Spatium Project Simulation student brief
Spatium Project Simulation student briefSpatium Project Simulation student brief
Spatium Project Simulation student brief
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptx
 
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
 
Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17
 
Fostering Friendships - Enhancing Social Bonds in the Classroom
Fostering Friendships - Enhancing Social Bonds  in the ClassroomFostering Friendships - Enhancing Social Bonds  in the Classroom
Fostering Friendships - Enhancing Social Bonds in the Classroom
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
 
Salient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functionsSalient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functions
 
Vishram Singh - Textbook of Anatomy Upper Limb and Thorax.. Volume 1 (1).pdf
Vishram Singh - Textbook of Anatomy  Upper Limb and Thorax.. Volume 1 (1).pdfVishram Singh - Textbook of Anatomy  Upper Limb and Thorax.. Volume 1 (1).pdf
Vishram Singh - Textbook of Anatomy Upper Limb and Thorax.. Volume 1 (1).pdf
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibit
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
 
Dyslexia AI Workshop for Slideshare.pptx
Dyslexia AI Workshop for Slideshare.pptxDyslexia AI Workshop for Slideshare.pptx
Dyslexia AI Workshop for Slideshare.pptx
 

Statistics

  • 1. Prepared by: Jenny Ann G. Gregana
  • 2. What is Statistics?  The purpose of statistics is to develop and apply methodology for extracting useful knowledge from both experiments and data. In addition to its fundamental role in data analysis, statistical reasoning is also extremely useful in data collection (design of experiments and surveys) and also in guiding proper scientific inference (Fisher, 1990).
  • 3. What is Statistics?  Statistics is neither really a science nor a branch of mathematics. It is perhaps best considered as a meta-science (or meta-language) for dealing with data collection, analysis, and interpretation. As such its scope is enormous and it provides much guiding insight in many branches of science, business.
  • 4. Brief History of Statistics   The Word statistics have been derived from Latin word “Status” or the Italian word “Statista”, meaning of these words is “Political State” or a Government.  Shakespeare used a word Statist is his drama Hamlet (1602). In the past, the statistics was used by rulers.  The application of statistics was very limited but rulers and kings needed information about lands, agriculture, commerce, population of their states to assess their military potential, their wealth, taxation and other aspects of government.
  • 5. Brief History of Statistics  Basic forms of statistics have been used since the beginning of civilization. Early empires often collated censuses of the population or recorded the trade in various commodities. The Roman Empire was one of the first states to extensively gather data on the size of the empire's population, geographical area and wealth.
  • 6. Brief History of Statistics  During the 20th century several statistician are active in developing new methods, theories and application of statistics.  Now these days the availability of electronics computers is certainly a major factor in the modern development of statistics.
  • 7. History of Statistics  Time Contributor Contribution Ancient Greece Philosophers Ideas - no quantitative analyses 17th Century Graunt, Petty Pascal, Bernoulli studied affairs of state, vital statistics of populations studied probability through games of chance, gambling 18th Century Laplace, Gauss normal curve, regression through study of astronomy Timeline
  • 8. History of Statistics Timeline  19th Century Quetelet Galton astronomer who first applied statistical analyses to human biology studied genetic variation in humans(used regression and correlation)
  • 9. History of Statistics  20th Century (early) Pearson Gossett (Student) Fisher studied natural selection using correlation, formed first academic department of statistics, Biometrika journal, helped develop the Chi Square analysis studied process of brewing, alerted the statistics community about problems with small sample sizes, developed Student's test evolutionary biologists - developed ANOVA, stressed the importance of experimental design Timeline
  • 10.  20th Century (later) Wilcoxon Kruskal, Wallis Spearman Kendall Tukey Dunnett Keuls Computer Technology biochemist studied pesticides, non-parametric equivalent of two-samples test economists who developed the non-parametric equivalent of the ANOVA psychologist who developed a non-parametric equivalent of the correlation coefficient statistician who developed another non-parametric equivalent the correlation coefficient statistician who developed multiple comparisons procedure biochemist who studied pesticides, developed multiple comparisons procedure for control groups agronomist who developed multiple comparisons procedure provided many advantages over calculations by hand or by calculator, stimulated the growth of investigation into new techniques
  • 11.  Statisticians Sir William Petty -a 17th-century economist who used early statistical methods to analyze demographic data.
  • 12.  Statisticians  Carl Friedrich Gauss, -mathematician who developed the method of least squares in 1809.
  • 13.  Statisticians Karl Pearson, the founder of mathematical statistics.
  • 14.  Statisticians Ronald Fisher "A genius who almost single-handedly created the foundations for modern statistical science",
  • 15.  Statisticians James Lind -carried out the first ever clinical trial in 1747, in an effort to find a treatment for scurvy.
  • 16.  Statisticians Pierre-Simon -marquis de Laplace, one of the main early developers of Bayesian statistics.