SlideShare a Scribd company logo
1 of 100
Download to read offline
What is Statistics
GOALS ,[object Object],[object Object],[object Object],[object Object],[object Object]
What is Meant by Statistics? ,[object Object]
Who Uses Statistics? ,[object Object]
Types of Statistics – Descriptive Statistics ,[object Object],[object Object],[object Object],[object Object]
Population versus Sample A  population   is a  collection  of all possible individuals, objects, or measurements of  interest.  A   sample   is a  portion , or part, of the population of interest
Types of Variables   ,[object Object],[object Object],[object Object],[object Object]
Quantitative Variables - Classifications ,[object Object],[object Object],[object Object],[object Object],[object Object]
Summary of Types of Variables
Four Levels of Measurement ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Summary of the Characteristics for Levels of Measurement
Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation
GOALS ,[object Object],[object Object],[object Object],[object Object]
Bar Charts
Pie Charts
Pie Chart Using Excel
Frequency Distribution ,[object Object]
Frequency Table
Relative Class Frequencies ,[object Object],[object Object]
Frequency Distribution ,[object Object],[object Object],[object Object]
EXAMPLE – Creating a Frequency Distribution Table Ms. Kathryn Ball of AutoUSA wants to develop tables, charts, and graphs to show the typical selling price on various dealer lots. The table on the right reports only the price of the 80 vehicles sold last month at Whitner Autoplex.
Constructing a Frequency Table - Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],Constructing a Frequency Table - Example
[object Object],[object Object],Constructing a Frequency Table
Relative Frequency Distribution To convert a frequency distribution to a  relative  frequency distribution,  each of the class frequencies is divided by the total number of observations.
Graphic Presentation of a Frequency Distribution ,[object Object],[object Object],[object Object],[object Object]
Histogram Histogram  for a frequency distribution based on quantitative data is very similar to the bar chart showing the distribution of qualitative data. The classes are marked on the horizontal axis and the class frequencies on the vertical axis. The class frequencies are represented by the heights of the bars.
Histogram Using Excel
Frequency Polygon ,[object Object],[object Object]
Cumulative Frequency Distribution
Cumulative Frequency Distribution
Describing Data: Numerical Measures Chapter 3
GOALS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Characteristics of the Mean ,[object Object],[object Object],[object Object],[object Object],[object Object]
Population Mean ,[object Object]
EXAMPLE – Population Mean
Sample Mean ,[object Object]
EXAMPLE – Sample Mean
Properties of the Arithmetic Mean ,[object Object],[object Object],[object Object],[object Object],[object Object]
Weighted Mean ,[object Object]
EXAMPLE – Weighted Mean The Carter Construction Company pays its hourly employees $16.50, $19.00, or $25.00 per hour. There are 26 hourly employees, 14 of which are paid at the $16.50 rate, 10 at the $19.00 rate, and 2 at the $25.00 rate. What is the mean hourly rate paid the 26 employees?
The Median ,[object Object],[object Object],[object Object]
Properties of the Median ,[object Object],[object Object],[object Object],[object Object]
EXAMPLES  - Median ,[object Object],[object Object],[object Object],[object Object],[object Object],The heights of four basketball players, in inches, are:  76, 73, 80, 75 Arranging the data in ascending order gives:  73, 75, 76, 80 .  Thus the median is 75.5
The Mode ,[object Object]
Example - Mode
Mean, Median, Mode Using Excel Table 2–4 in Chapter 2 shows the prices of the 80 vehicles sold last month at Whitner Autoplex in Raytown, Missouri. Determine the mean and the median selling price. The mean and the median selling prices are reported in the following Excel output. There are 80 vehicles in the study. So the calculations with a calculator would be tedious and prone to error.
Mean, Median, Mode Using Excel
The Relative Positions of the Mean, Median and the Mode
The Geometric Mean ,[object Object],[object Object],[object Object],[object Object],[object Object]
EXAMPLE – Geometric Mean ,[object Object]
EXAMPLE – Geometric Mean (2) ,[object Object]
Dispersion ,[object Object],[object Object],[object Object],[object Object]
Samples of Dispersions
Measures of Dispersion ,[object Object],[object Object],[object Object]
EXAMPLE – Range ,[object Object],Range = Largest – Smallest value = 80 – 20 = 60
EXAMPLE – Mean Deviation ,[object Object]
EXAMPLE – Variance and Standard Deviation ,[object Object]
EXAMPLE – Sample Variance ,[object Object]
Chebyshev’s Theorem ,[object Object]
The Empirical Rule
The Arithmetic Mean of Grouped Data
[object Object],The Arithmetic Mean of Grouped Data - Example
The Arithmetic Mean of Grouped Data - Example
Standard Deviation of Grouped Data
Standard Deviation of Grouped Data - Example ,[object Object]
End of Chapter 3
Describing Data:  Displaying and Exploring Data Chapter 4
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],GOALS
Dot Plots ,[object Object],[object Object],[object Object]
Dot Plots - Examples ,[object Object]
Dot Plot – Minitab Example
Stem-and-Leaf ,[object Object],[object Object],[object Object],[object Object]
Stem-and-Leaf – Example ,[object Object],[object Object],[object Object]
Stem-and-leaf: Another Example ,[object Object]
Stem-and-leaf: Another Example
Stem-and-leaf: Another Example (Minitab)
[object Object],[object Object],[object Object],Quartiles, Deciles and Percentiles
[object Object],[object Object],[object Object],Percentile Computation
Percentiles - Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Percentiles – Example (cont.) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Percentiles – Example (cont.) ,[object Object]
Percentiles – Example (Minitab)
Percentiles – Example (Excel)
Boxplot - Example
Boxplot Example
Boxplot – Using Minitab ,[object Object]
Skewness ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Skewness - Formulas for Computing ,[object Object],[object Object],[object Object],[object Object]
Commonly Observed Shapes
Skewness – An Example ,[object Object],[object Object]
Skewness – An Example Using Pearson’s Coefficient
Skewness – A Minitab Example
Describing Relationship between Two Variables ,[object Object],[object Object]
Describing Relationship between Two Variables – Scatter Diagram Examples
[object Object],[object Object],Describing Relationship between Two Variables – Scatter Diagram Excel Example
Describing Relationship between Two Variables – Scatter Diagram Excel Example
Contingency Tables ,[object Object],[object Object]
Contingency Tables – An Example ,[object Object]
End of Chapter 4

More Related Content

What's hot

Lesson 8 Linear Correlation And Regression
Lesson 8 Linear Correlation And RegressionLesson 8 Linear Correlation And Regression
Lesson 8 Linear Correlation And RegressionSumit Prajapati
 
135. Graphic Presentation
135. Graphic Presentation135. Graphic Presentation
135. Graphic PresentationLAKSHMANAN S
 
Anova lecture
Anova lectureAnova lecture
Anova lecturedoublem44
 
Chap15 analysis of variance
Chap15 analysis of varianceChap15 analysis of variance
Chap15 analysis of varianceJudianto Nugroho
 
Descriptive statistics
Descriptive statisticsDescriptive statistics
Descriptive statisticsAnand Thokal
 
Introduction to statistics
Introduction to statisticsIntroduction to statistics
Introduction to statisticsakbhanj
 
T test, independant sample, paired sample and anova
T test, independant sample, paired sample and anovaT test, independant sample, paired sample and anova
T test, independant sample, paired sample and anovaQasim Raza
 
What is Statistics
What is StatisticsWhat is Statistics
What is Statisticssidra-098
 
Graphical presentation of data
Graphical presentation of dataGraphical presentation of data
Graphical presentation of datadrasifk
 
Introduction to Statistics
Introduction to StatisticsIntroduction to Statistics
Introduction to StatisticsSaurav Shrestha
 
What is Data? in Statistics
What is Data? in StatisticsWhat is Data? in Statistics
What is Data? in StatisticsSaurabh Patni
 
Introduction to Statistics
Introduction to StatisticsIntroduction to Statistics
Introduction to Statisticsaan786
 
Introduction to Statistics
Introduction to StatisticsIntroduction to Statistics
Introduction to StatisticsAnjan Mahanta
 

What's hot (20)

Lesson 8 Linear Correlation And Regression
Lesson 8 Linear Correlation And RegressionLesson 8 Linear Correlation And Regression
Lesson 8 Linear Correlation And Regression
 
Chapter 14
Chapter 14 Chapter 14
Chapter 14
 
Two Means, Independent Samples
Two Means, Independent SamplesTwo Means, Independent Samples
Two Means, Independent Samples
 
Basic Statistics
Basic  StatisticsBasic  Statistics
Basic Statistics
 
Type of data
Type of dataType of data
Type of data
 
135. Graphic Presentation
135. Graphic Presentation135. Graphic Presentation
135. Graphic Presentation
 
Anova lecture
Anova lectureAnova lecture
Anova lecture
 
Chi square mahmoud
Chi square mahmoudChi square mahmoud
Chi square mahmoud
 
Chap15 analysis of variance
Chap15 analysis of varianceChap15 analysis of variance
Chap15 analysis of variance
 
Descriptive statistics
Descriptive statisticsDescriptive statistics
Descriptive statistics
 
Introduction to statistics
Introduction to statisticsIntroduction to statistics
Introduction to statistics
 
Hypothesis
HypothesisHypothesis
Hypothesis
 
T test, independant sample, paired sample and anova
T test, independant sample, paired sample and anovaT test, independant sample, paired sample and anova
T test, independant sample, paired sample and anova
 
What is Statistics
What is StatisticsWhat is Statistics
What is Statistics
 
Basic concept of statistics
Basic concept of statisticsBasic concept of statistics
Basic concept of statistics
 
Graphical presentation of data
Graphical presentation of dataGraphical presentation of data
Graphical presentation of data
 
Introduction to Statistics
Introduction to StatisticsIntroduction to Statistics
Introduction to Statistics
 
What is Data? in Statistics
What is Data? in StatisticsWhat is Data? in Statistics
What is Data? in Statistics
 
Introduction to Statistics
Introduction to StatisticsIntroduction to Statistics
Introduction to Statistics
 
Introduction to Statistics
Introduction to StatisticsIntroduction to Statistics
Introduction to Statistics
 

Viewers also liked

สถิติเบื่องต้น
สถิติเบื่องต้นสถิติเบื่องต้น
สถิติเบื่องต้นothanatoso
 
ค32203 โครงการสอน
ค32203 โครงการสอนค32203 โครงการสอน
ค32203 โครงการสอนothanatoso
 
Intro to Stastics with R- Introduction
Intro to Stastics with R- IntroductionIntro to Stastics with R- Introduction
Intro to Stastics with R- IntroductionLakshmi Devi G.C
 
Statistic and probability 2
Statistic and probability 2Statistic and probability 2
Statistic and probability 2Irfan Yaqoob
 
Aristotle's Storytelling Framework for the Web
Aristotle's Storytelling Framework for the WebAristotle's Storytelling Framework for the Web
Aristotle's Storytelling Framework for the WebJeroen van Geel
 
実践Excelスクレイピング
実践Excelスクレイピング実践Excelスクレイピング
実践Excelスクレイピング宏明 塩原
 
Brm (one tailed and two tailed hypothesis)
Brm (one tailed and two tailed hypothesis)Brm (one tailed and two tailed hypothesis)
Brm (one tailed and two tailed hypothesis)Upama Dwivedi
 
Measures of variability
Measures of variabilityMeasures of variability
Measures of variabilityMark Santos
 
Normal Curve and Standard Scores
Normal Curve and Standard ScoresNormal Curve and Standard Scores
Normal Curve and Standard ScoresJenewel Azuelo
 
Commonly Used Statistics in Survey Research
Commonly Used Statistics in Survey ResearchCommonly Used Statistics in Survey Research
Commonly Used Statistics in Survey ResearchPat Barlow
 
Political science
Political sciencePolitical science
Political sciencePSCN2012
 
Judgment and proposition or logical statement
Judgment and proposition or logical statementJudgment and proposition or logical statement
Judgment and proposition or logical statementling selanoba
 
Introduction to Logic
Introduction to LogicIntroduction to Logic
Introduction to LogicRuby Angela
 
Bill of rights (lecture)
Bill of rights (lecture)Bill of rights (lecture)
Bill of rights (lecture)John Torres
 

Viewers also liked (20)

สถิติเบื่องต้น
สถิติเบื่องต้นสถิติเบื่องต้น
สถิติเบื่องต้น
 
ค32203 โครงการสอน
ค32203 โครงการสอนค32203 โครงการสอน
ค32203 โครงการสอน
 
Intro to Stastics with R- Introduction
Intro to Stastics with R- IntroductionIntro to Stastics with R- Introduction
Intro to Stastics with R- Introduction
 
Statics
StaticsStatics
Statics
 
Statistic and probability 2
Statistic and probability 2Statistic and probability 2
Statistic and probability 2
 
Probability and statistics
Probability and statisticsProbability and statistics
Probability and statistics
 
Aristotle's Storytelling Framework for the Web
Aristotle's Storytelling Framework for the WebAristotle's Storytelling Framework for the Web
Aristotle's Storytelling Framework for the Web
 
Basic probability & statistics
Basic probability & statisticsBasic probability & statistics
Basic probability & statistics
 
実践Excelスクレイピング
実践Excelスクレイピング実践Excelスクレイピング
実践Excelスクレイピング
 
Brm (one tailed and two tailed hypothesis)
Brm (one tailed and two tailed hypothesis)Brm (one tailed and two tailed hypothesis)
Brm (one tailed and two tailed hypothesis)
 
Measures of variability
Measures of variabilityMeasures of variability
Measures of variability
 
Normal Distribution
Normal DistributionNormal Distribution
Normal Distribution
 
Normal Curve and Standard Scores
Normal Curve and Standard ScoresNormal Curve and Standard Scores
Normal Curve and Standard Scores
 
Commonly Used Statistics in Survey Research
Commonly Used Statistics in Survey ResearchCommonly Used Statistics in Survey Research
Commonly Used Statistics in Survey Research
 
Logic introduction
Logic   introductionLogic   introduction
Logic introduction
 
Political science
Political sciencePolitical science
Political science
 
Judgment and proposition or logical statement
Judgment and proposition or logical statementJudgment and proposition or logical statement
Judgment and proposition or logical statement
 
Introduction to Logic
Introduction to LogicIntroduction to Logic
Introduction to Logic
 
Logic.ppt.
Logic.ppt.Logic.ppt.
Logic.ppt.
 
Bill of rights (lecture)
Bill of rights (lecture)Bill of rights (lecture)
Bill of rights (lecture)
 

Similar to Statistics

Statistics final seminar
Statistics final seminarStatistics final seminar
Statistics final seminarTejas Jagtap
 
Chapter 03
Chapter 03Chapter 03
Chapter 03bmcfad01
 
QUANTITATIVE METHODS NOTES.pdf
QUANTITATIVE METHODS NOTES.pdfQUANTITATIVE METHODS NOTES.pdf
QUANTITATIVE METHODS NOTES.pdfBensonNduati1
 
Business statistics (Basics)
Business statistics (Basics)Business statistics (Basics)
Business statistics (Basics)AhmedToheed3
 
Chapter 02
Chapter 02Chapter 02
Chapter 02bmcfad01
 
1.0 Descriptive statistics.pdf
1.0 Descriptive statistics.pdf1.0 Descriptive statistics.pdf
1.0 Descriptive statistics.pdfthaersyam
 
Probability and statistics(assign 7 and 8)
Probability and statistics(assign 7 and 8)Probability and statistics(assign 7 and 8)
Probability and statistics(assign 7 and 8)Fatima Bianca Gueco
 
Probability and statistics(exercise answers)
Probability and statistics(exercise answers)Probability and statistics(exercise answers)
Probability and statistics(exercise answers)Fatima Bianca Gueco
 
Probability and statistics
Probability and statisticsProbability and statistics
Probability and statisticstrixiacruz
 
Descriptions of data statistics for research
Descriptions of data   statistics for researchDescriptions of data   statistics for research
Descriptions of data statistics for researchHarve Abella
 
Chapter 4 MMW.pdf
Chapter 4 MMW.pdfChapter 4 MMW.pdf
Chapter 4 MMW.pdfRaRaRamirez
 
What is Descriptive Statistics and How Do You Choose the Right One for Enterp...
What is Descriptive Statistics and How Do You Choose the Right One for Enterp...What is Descriptive Statistics and How Do You Choose the Right One for Enterp...
What is Descriptive Statistics and How Do You Choose the Right One for Enterp...Smarten Augmented Analytics
 

Similar to Statistics (20)

Statistics final seminar
Statistics final seminarStatistics final seminar
Statistics final seminar
 
Chapter 03
Chapter 03Chapter 03
Chapter 03
 
SPSS software application.pdf
SPSS software application.pdfSPSS software application.pdf
SPSS software application.pdf
 
Elementary Statistics
Elementary Statistics Elementary Statistics
Elementary Statistics
 
QUANTITATIVE METHODS NOTES.pdf
QUANTITATIVE METHODS NOTES.pdfQUANTITATIVE METHODS NOTES.pdf
QUANTITATIVE METHODS NOTES.pdf
 
Business statistics (Basics)
Business statistics (Basics)Business statistics (Basics)
Business statistics (Basics)
 
Chapter 02
Chapter 02Chapter 02
Chapter 02
 
1.0 Descriptive statistics.pdf
1.0 Descriptive statistics.pdf1.0 Descriptive statistics.pdf
1.0 Descriptive statistics.pdf
 
PSPP software application
PSPP software applicationPSPP software application
PSPP software application
 
Emba502 day 2
Emba502 day 2Emba502 day 2
Emba502 day 2
 
Probability and statistics(assign 7 and 8)
Probability and statistics(assign 7 and 8)Probability and statistics(assign 7 and 8)
Probability and statistics(assign 7 and 8)
 
New statistics
New statisticsNew statistics
New statistics
 
Probability and statistics(exercise answers)
Probability and statistics(exercise answers)Probability and statistics(exercise answers)
Probability and statistics(exercise answers)
 
Probability and statistics
Probability and statisticsProbability and statistics
Probability and statistics
 
Finals Stat 1
Finals Stat 1Finals Stat 1
Finals Stat 1
 
Probability and statistics
Probability and statisticsProbability and statistics
Probability and statistics
 
Statistics1(finals)
Statistics1(finals)Statistics1(finals)
Statistics1(finals)
 
Descriptions of data statistics for research
Descriptions of data   statistics for researchDescriptions of data   statistics for research
Descriptions of data statistics for research
 
Chapter 4 MMW.pdf
Chapter 4 MMW.pdfChapter 4 MMW.pdf
Chapter 4 MMW.pdf
 
What is Descriptive Statistics and How Do You Choose the Right One for Enterp...
What is Descriptive Statistics and How Do You Choose the Right One for Enterp...What is Descriptive Statistics and How Do You Choose the Right One for Enterp...
What is Descriptive Statistics and How Do You Choose the Right One for Enterp...
 

Recently uploaded

2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch TuesdayIvanti
 
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical InfrastructureVarsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructureitnewsafrica
 
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS:  6 Ways to Automate Your Data IntegrationBridging Between CAD & GIS:  6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integrationmarketing932765
 
React JS; all concepts. Contains React Features, JSX, functional & Class comp...
React JS; all concepts. Contains React Features, JSX, functional & Class comp...React JS; all concepts. Contains React Features, JSX, functional & Class comp...
React JS; all concepts. Contains React Features, JSX, functional & Class comp...Karmanjay Verma
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...Wes McKinney
 
Glenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security ObservabilityGlenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security Observabilityitnewsafrica
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsRavi Sanghani
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfpanagenda
 
Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...
Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...
Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...Jeffrey Haguewood
 
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...BookNet Canada
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
Infrared simulation and processing on Nvidia platforms
Infrared simulation and processing on Nvidia platformsInfrared simulation and processing on Nvidia platforms
Infrared simulation and processing on Nvidia platformsYoss Cohen
 
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Alkin Tezuysal
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentPim van der Noll
 
Design pattern talk by Kaya Weers - 2024 (v2)
Design pattern talk by Kaya Weers - 2024 (v2)Design pattern talk by Kaya Weers - 2024 (v2)
Design pattern talk by Kaya Weers - 2024 (v2)Kaya Weers
 
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality AssuranceInflectra
 
Landscape Catalogue 2024 Australia-1.pdf
Landscape Catalogue 2024 Australia-1.pdfLandscape Catalogue 2024 Australia-1.pdf
Landscape Catalogue 2024 Australia-1.pdfAarwolf Industries LLC
 
QCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architecturesQCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architecturesBernd Ruecker
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
Microservices, Docker deploy and Microservices source code in C#
Microservices, Docker deploy and Microservices source code in C#Microservices, Docker deploy and Microservices source code in C#
Microservices, Docker deploy and Microservices source code in C#Karmanjay Verma
 

Recently uploaded (20)

2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch Tuesday
 
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical InfrastructureVarsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
 
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS:  6 Ways to Automate Your Data IntegrationBridging Between CAD & GIS:  6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
 
React JS; all concepts. Contains React Features, JSX, functional & Class comp...
React JS; all concepts. Contains React Features, JSX, functional & Class comp...React JS; all concepts. Contains React Features, JSX, functional & Class comp...
React JS; all concepts. Contains React Features, JSX, functional & Class comp...
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
 
Glenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security ObservabilityGlenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security Observability
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and Insights
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
 
Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...
Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...
Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...
 
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
Infrared simulation and processing on Nvidia platforms
Infrared simulation and processing on Nvidia platformsInfrared simulation and processing on Nvidia platforms
Infrared simulation and processing on Nvidia platforms
 
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
Unleashing Real-time Insights with ClickHouse_ Navigating the Landscape in 20...
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
 
Design pattern talk by Kaya Weers - 2024 (v2)
Design pattern talk by Kaya Weers - 2024 (v2)Design pattern talk by Kaya Weers - 2024 (v2)
Design pattern talk by Kaya Weers - 2024 (v2)
 
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
 
Landscape Catalogue 2024 Australia-1.pdf
Landscape Catalogue 2024 Australia-1.pdfLandscape Catalogue 2024 Australia-1.pdf
Landscape Catalogue 2024 Australia-1.pdf
 
QCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architecturesQCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architectures
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
Microservices, Docker deploy and Microservices source code in C#
Microservices, Docker deploy and Microservices source code in C#Microservices, Docker deploy and Microservices source code in C#
Microservices, Docker deploy and Microservices source code in C#
 

Statistics