SlideShare ist ein Scribd-Unternehmen logo
1 von 8
Basic Statistics : Descriptive Statistics
What is Descriptive
Statistics ? “ This is the statistics which deals with
descriptive section of the data set as well
as have tendency to describe the data set
initially ”
Commonly used measures to describe a data set :
 Measures of Central Tendency
 Measures of dispersion
Measures of Central Tendency:
A measure of central tendency is a single value
that attempts to describe a set of data by
identifying the central position within that set of
data. The mean, median and mode are most
likely the measures of central tendency that we
are most familiar with.
Mean (Arithmetic) :
The mean (or average ) is equal to the sum of all
the values in the data set divided by the number
of values in the data set. So, if we have n values in
a data set and they have values x1, x2, ..., xn, the
sample mean, usually denoted by (pronounced x
bar), is:
Median
The median is the middle score for a set of data that has been arranged in order
of magnitude.
Mode :
The mode is the value that appears most often in a set of data.
Measures of dispersion
Range:
The spread, or the distance, between the
lowest and highest values of a variable.
Interquartile Range:
A quartile is the value that marks one of the
divisions that breaks a series of values into
four equal parts. The Interquartile range is
the distance or range between the 25th
percentile and the 75th percentile.
Standard Deviation:
The standard deviation gives an idea of how close the entire set of data is to the average value.
Variance:
Measures how far a set of numbers is spread out. A variance of zero indicates that all the values
are identical. Variance is always non-negative, a small variance indicates that the data points
tend to be very close to the mean (Average value), while a high variance indicates that the data
points are very spread out around the mean.
Thank You

Weitere ähnliche Inhalte

Was ist angesagt?

Was ist angesagt? (20)

Descriptive Statistics
Descriptive StatisticsDescriptive Statistics
Descriptive Statistics
 
Introduction to Descriptive Statistics
Introduction to Descriptive StatisticsIntroduction to Descriptive Statistics
Introduction to Descriptive Statistics
 
Descriptive statistics
Descriptive statisticsDescriptive statistics
Descriptive statistics
 
Introduction to Statistics - Basic concepts
Introduction to Statistics - Basic conceptsIntroduction to Statistics - Basic concepts
Introduction to Statistics - Basic concepts
 
Descriptive statistics -review(2)
Descriptive statistics -review(2)Descriptive statistics -review(2)
Descriptive statistics -review(2)
 
Measures of central tendancy
Measures of central tendancy Measures of central tendancy
Measures of central tendancy
 
Descriptive statistics i
Descriptive statistics iDescriptive statistics i
Descriptive statistics i
 
Descriptive statistics
Descriptive statisticsDescriptive statistics
Descriptive statistics
 
Basics stat ppt-types of data
Basics stat ppt-types of dataBasics stat ppt-types of data
Basics stat ppt-types of data
 
Statistical ppt
Statistical pptStatistical ppt
Statistical ppt
 
Summarizing data
Summarizing dataSummarizing data
Summarizing data
 
Descriptive statistics
Descriptive statisticsDescriptive statistics
Descriptive statistics
 
Statistics
StatisticsStatistics
Statistics
 
Descriptive Statistics
Descriptive StatisticsDescriptive Statistics
Descriptive Statistics
 
Basic Statistics & Data Analysis
Basic Statistics & Data AnalysisBasic Statistics & Data Analysis
Basic Statistics & Data Analysis
 
Statistics "Descriptive & Inferential"
Statistics "Descriptive & Inferential"Statistics "Descriptive & Inferential"
Statistics "Descriptive & Inferential"
 
Descriptive statistics
Descriptive statisticsDescriptive statistics
Descriptive statistics
 
Inferential Statistics
Inferential StatisticsInferential Statistics
Inferential Statistics
 
Testing Hypothesis
Testing HypothesisTesting Hypothesis
Testing Hypothesis
 
1.2 types of data
1.2 types of data1.2 types of data
1.2 types of data
 

Andere mochten auch

Basic Statistical Concepts and Methods
Basic Statistical Concepts and MethodsBasic Statistical Concepts and Methods
Basic Statistical Concepts and MethodsAhmed-Refat Refat
 
Introduction To Statistics
Introduction To StatisticsIntroduction To Statistics
Introduction To Statisticsalbertlaporte
 
Writing case study
Writing case studyWriting case study
Writing case studyHem Raj Rana
 
Descriptive statistics
Descriptive statisticsDescriptive statistics
Descriptive statisticsmercy rani
 
A revew of basic statistics concepts ch 1
A revew of basic statistics concepts ch 1A revew of basic statistics concepts ch 1
A revew of basic statistics concepts ch 1Abdulkadir Jibril
 
Smart Solutions: Data Analytics Substantial to Support Fraud Investigations
Smart Solutions: Data Analytics Substantial to Support Fraud InvestigationsSmart Solutions: Data Analytics Substantial to Support Fraud Investigations
Smart Solutions: Data Analytics Substantial to Support Fraud Investigationscorma GmbH
 
De-Mystifying Stats: A primer on basic statistics
De-Mystifying Stats: A primer on basic statisticsDe-Mystifying Stats: A primer on basic statistics
De-Mystifying Stats: A primer on basic statisticsGillian Byrne
 
Case study "Thesis Writing" Developing Courses in Englsih By Helen Basturkmen
Case study "Thesis Writing" Developing Courses in Englsih By Helen BasturkmenCase study "Thesis Writing" Developing Courses in Englsih By Helen Basturkmen
Case study "Thesis Writing" Developing Courses in Englsih By Helen BasturkmenOla Sayed Ahmed
 
CASE STUDY WRITING: Expert Recommendations
CASE STUDY WRITING: Expert RecommendationsCASE STUDY WRITING: Expert Recommendations
CASE STUDY WRITING: Expert RecommendationsCase Study Format
 
Probability and basic statistics with R
Probability and basic statistics with RProbability and basic statistics with R
Probability and basic statistics with RAlberto Labarga
 
Business intelligence, Data Analytics & Data Visualization
Business intelligence, Data Analytics & Data VisualizationBusiness intelligence, Data Analytics & Data Visualization
Business intelligence, Data Analytics & Data VisualizationMuthu Natarajan
 
Statistics for the Health Scientist: Basic Statistics II
Statistics for the Health Scientist: Basic Statistics IIStatistics for the Health Scientist: Basic Statistics II
Statistics for the Health Scientist: Basic Statistics IIDrLukeKane
 

Andere mochten auch (18)

Basic Statistical Concepts and Methods
Basic Statistical Concepts and MethodsBasic Statistical Concepts and Methods
Basic Statistical Concepts and Methods
 
Introduction To Statistics
Introduction To StatisticsIntroduction To Statistics
Introduction To Statistics
 
Writing Case Studies
Writing Case StudiesWriting Case Studies
Writing Case Studies
 
Writing case study
Writing case studyWriting case study
Writing case study
 
Intermediate Statistics 1
Intermediate Statistics 1Intermediate Statistics 1
Intermediate Statistics 1
 
Descriptive statistics
Descriptive statisticsDescriptive statistics
Descriptive statistics
 
Social Media Presentation
Social Media PresentationSocial Media Presentation
Social Media Presentation
 
A revew of basic statistics concepts ch 1
A revew of basic statistics concepts ch 1A revew of basic statistics concepts ch 1
A revew of basic statistics concepts ch 1
 
Smart Solutions: Data Analytics Substantial to Support Fraud Investigations
Smart Solutions: Data Analytics Substantial to Support Fraud InvestigationsSmart Solutions: Data Analytics Substantial to Support Fraud Investigations
Smart Solutions: Data Analytics Substantial to Support Fraud Investigations
 
De-Mystifying Stats: A primer on basic statistics
De-Mystifying Stats: A primer on basic statisticsDe-Mystifying Stats: A primer on basic statistics
De-Mystifying Stats: A primer on basic statistics
 
Case study "Thesis Writing" Developing Courses in Englsih By Helen Basturkmen
Case study "Thesis Writing" Developing Courses in Englsih By Helen BasturkmenCase study "Thesis Writing" Developing Courses in Englsih By Helen Basturkmen
Case study "Thesis Writing" Developing Courses in Englsih By Helen Basturkmen
 
1504 basic statistics
1504 basic statistics1504 basic statistics
1504 basic statistics
 
Understanding statistics in research
Understanding statistics in researchUnderstanding statistics in research
Understanding statistics in research
 
CASE STUDY WRITING: Expert Recommendations
CASE STUDY WRITING: Expert RecommendationsCASE STUDY WRITING: Expert Recommendations
CASE STUDY WRITING: Expert Recommendations
 
Probability and basic statistics with R
Probability and basic statistics with RProbability and basic statistics with R
Probability and basic statistics with R
 
Basic statistics
Basic statisticsBasic statistics
Basic statistics
 
Business intelligence, Data Analytics & Data Visualization
Business intelligence, Data Analytics & Data VisualizationBusiness intelligence, Data Analytics & Data Visualization
Business intelligence, Data Analytics & Data Visualization
 
Statistics for the Health Scientist: Basic Statistics II
Statistics for the Health Scientist: Basic Statistics IIStatistics for the Health Scientist: Basic Statistics II
Statistics for the Health Scientist: Basic Statistics II
 

Ähnlich wie Basic Descriptive statistics

Descriptive Statistics: Measures of Central Tendency - Measures of Dispersion...
Descriptive Statistics: Measures of Central Tendency - Measures of Dispersion...Descriptive Statistics: Measures of Central Tendency - Measures of Dispersion...
Descriptive Statistics: Measures of Central Tendency - Measures of Dispersion...EqraBaig
 
Descriptive Statistics.pptx
Descriptive Statistics.pptxDescriptive Statistics.pptx
Descriptive Statistics.pptxShashank Mishra
 
Measures of central tendency
Measures of central tendencyMeasures of central tendency
Measures of central tendencyMmedsc Hahm
 
Chapter 12 Data Analysis Descriptive Methods and Index Numbers
Chapter 12 Data Analysis Descriptive Methods and Index NumbersChapter 12 Data Analysis Descriptive Methods and Index Numbers
Chapter 12 Data Analysis Descriptive Methods and Index NumbersInternational advisers
 
STATISTICAL PROCEDURES (Discriptive Statistics).pptx
STATISTICAL PROCEDURES (Discriptive Statistics).pptxSTATISTICAL PROCEDURES (Discriptive Statistics).pptx
STATISTICAL PROCEDURES (Discriptive Statistics).pptxMuhammadNafees42
 
Biostatistics basics-biostatistics4734
Biostatistics basics-biostatistics4734Biostatistics basics-biostatistics4734
Biostatistics basics-biostatistics4734AbhishekDas15
 
Biostatistics basics-biostatistics4734
Biostatistics basics-biostatistics4734Biostatistics basics-biostatistics4734
Biostatistics basics-biostatistics4734AbhishekDas15
 
Measures of central tendency
Measures of central tendencyMeasures of central tendency
Measures of central tendencyAlex Chris
 
Measure of central tendency grouped data.pptx
Measure of central tendency grouped data.pptxMeasure of central tendency grouped data.pptx
Measure of central tendency grouped data.pptxSandeAlotaBoco
 
Properties of Standard Deviation
Properties of Standard DeviationProperties of Standard Deviation
Properties of Standard DeviationRizwan Sharif
 
MEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .pptMEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .pptaigil2
 
Measures of Central Tendency, Measures of Position, Measures of Dispersion, S...
Measures of Central Tendency, Measures of Position, Measures of Dispersion, S...Measures of Central Tendency, Measures of Position, Measures of Dispersion, S...
Measures of Central Tendency, Measures of Position, Measures of Dispersion, S...Sundar B N
 
measuresofcentraltendency-141113111140-conversion-gate02.pptx
measuresofcentraltendency-141113111140-conversion-gate02.pptxmeasuresofcentraltendency-141113111140-conversion-gate02.pptx
measuresofcentraltendency-141113111140-conversion-gate02.pptxIshikaRoy32
 
BRM_Data Analysis, Interpretation and Reporting Part II.ppt
BRM_Data Analysis, Interpretation and Reporting Part II.pptBRM_Data Analysis, Interpretation and Reporting Part II.ppt
BRM_Data Analysis, Interpretation and Reporting Part II.pptAbdifatahAhmedHurre
 
Review of Basic Statistics and Terminology
Review of Basic Statistics and TerminologyReview of Basic Statistics and Terminology
Review of Basic Statistics and Terminologyaswhite
 
Measures of central tendency 2.pptx
Measures of central tendency 2.pptxMeasures of central tendency 2.pptx
Measures of central tendency 2.pptxRohit77460
 

Ähnlich wie Basic Descriptive statistics (20)

Descriptive Statistics: Measures of Central Tendency - Measures of Dispersion...
Descriptive Statistics: Measures of Central Tendency - Measures of Dispersion...Descriptive Statistics: Measures of Central Tendency - Measures of Dispersion...
Descriptive Statistics: Measures of Central Tendency - Measures of Dispersion...
 
Descriptive Statistics.pptx
Descriptive Statistics.pptxDescriptive Statistics.pptx
Descriptive Statistics.pptx
 
Measures of central tendency
Measures of central tendencyMeasures of central tendency
Measures of central tendency
 
Stat11t chapter3
Stat11t chapter3Stat11t chapter3
Stat11t chapter3
 
Lec 13
Lec 13Lec 13
Lec 13
 
Chapter 12 Data Analysis Descriptive Methods and Index Numbers
Chapter 12 Data Analysis Descriptive Methods and Index NumbersChapter 12 Data Analysis Descriptive Methods and Index Numbers
Chapter 12 Data Analysis Descriptive Methods and Index Numbers
 
SUMMARY MEASURES.pdf
SUMMARY MEASURES.pdfSUMMARY MEASURES.pdf
SUMMARY MEASURES.pdf
 
STATISTICAL PROCEDURES (Discriptive Statistics).pptx
STATISTICAL PROCEDURES (Discriptive Statistics).pptxSTATISTICAL PROCEDURES (Discriptive Statistics).pptx
STATISTICAL PROCEDURES (Discriptive Statistics).pptx
 
Biostatistics basics-biostatistics4734
Biostatistics basics-biostatistics4734Biostatistics basics-biostatistics4734
Biostatistics basics-biostatistics4734
 
Biostatistics basics-biostatistics4734
Biostatistics basics-biostatistics4734Biostatistics basics-biostatistics4734
Biostatistics basics-biostatistics4734
 
Measures of central tendency
Measures of central tendencyMeasures of central tendency
Measures of central tendency
 
Maths PPT.pptx
Maths PPT.pptxMaths PPT.pptx
Maths PPT.pptx
 
Measure of central tendency grouped data.pptx
Measure of central tendency grouped data.pptxMeasure of central tendency grouped data.pptx
Measure of central tendency grouped data.pptx
 
Properties of Standard Deviation
Properties of Standard DeviationProperties of Standard Deviation
Properties of Standard Deviation
 
MEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .pptMEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .ppt
 
Measures of Central Tendency, Measures of Position, Measures of Dispersion, S...
Measures of Central Tendency, Measures of Position, Measures of Dispersion, S...Measures of Central Tendency, Measures of Position, Measures of Dispersion, S...
Measures of Central Tendency, Measures of Position, Measures of Dispersion, S...
 
measuresofcentraltendency-141113111140-conversion-gate02.pptx
measuresofcentraltendency-141113111140-conversion-gate02.pptxmeasuresofcentraltendency-141113111140-conversion-gate02.pptx
measuresofcentraltendency-141113111140-conversion-gate02.pptx
 
BRM_Data Analysis, Interpretation and Reporting Part II.ppt
BRM_Data Analysis, Interpretation and Reporting Part II.pptBRM_Data Analysis, Interpretation and Reporting Part II.ppt
BRM_Data Analysis, Interpretation and Reporting Part II.ppt
 
Review of Basic Statistics and Terminology
Review of Basic Statistics and TerminologyReview of Basic Statistics and Terminology
Review of Basic Statistics and Terminology
 
Measures of central tendency 2.pptx
Measures of central tendency 2.pptxMeasures of central tendency 2.pptx
Measures of central tendency 2.pptx
 

Kürzlich hochgeladen

RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝DelhiRS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhijennyeacort
 
Defining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryDefining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryJeremy Anderson
 
Real-Time AI Streaming - AI Max Princeton
Real-Time AI  Streaming - AI Max PrincetonReal-Time AI  Streaming - AI Max Princeton
Real-Time AI Streaming - AI Max PrincetonTimothy Spann
 
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...Amil Baba Dawood bangali
 
LLMs, LMMs, their Improvement Suggestions and the Path towards AGI
LLMs, LMMs, their Improvement Suggestions and the Path towards AGILLMs, LMMs, their Improvement Suggestions and the Path towards AGI
LLMs, LMMs, their Improvement Suggestions and the Path towards AGIThomas Poetter
 
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degreeyuu sss
 
Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 217djon017
 
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改yuu sss
 
Heart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis ProjectHeart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis ProjectBoston Institute of Analytics
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsVICTOR MAESTRE RAMIREZ
 
RABBIT: A CLI tool for identifying bots based on their GitHub events.
RABBIT: A CLI tool for identifying bots based on their GitHub events.RABBIT: A CLI tool for identifying bots based on their GitHub events.
RABBIT: A CLI tool for identifying bots based on their GitHub events.natarajan8993
 
Top 5 Best Data Analytics Courses In Queens
Top 5 Best Data Analytics Courses In QueensTop 5 Best Data Analytics Courses In Queens
Top 5 Best Data Analytics Courses In Queensdataanalyticsqueen03
 
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...GQ Research
 
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default  Presentation : Data Analysis Project PPTPredictive Analysis for Loan Default  Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPTBoston Institute of Analytics
 
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024thyngster
 
detection and classification of knee osteoarthritis.pptx
detection and classification of knee osteoarthritis.pptxdetection and classification of knee osteoarthritis.pptx
detection and classification of knee osteoarthritis.pptxAleenaJamil4
 
modul pembelajaran robotic Workshop _ by Slidesgo.pptx
modul pembelajaran robotic Workshop _ by Slidesgo.pptxmodul pembelajaran robotic Workshop _ by Slidesgo.pptx
modul pembelajaran robotic Workshop _ by Slidesgo.pptxaleedritatuxx
 
Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...
Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...
Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...Boston Institute of Analytics
 
How we prevented account sharing with MFA
How we prevented account sharing with MFAHow we prevented account sharing with MFA
How we prevented account sharing with MFAAndrei Kaleshka
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfgstagge
 

Kürzlich hochgeladen (20)

RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝DelhiRS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
 
Defining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryDefining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data Story
 
Real-Time AI Streaming - AI Max Princeton
Real-Time AI  Streaming - AI Max PrincetonReal-Time AI  Streaming - AI Max Princeton
Real-Time AI Streaming - AI Max Princeton
 
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
NO1 Certified Black Magic Specialist Expert Amil baba in Lahore Islamabad Raw...
 
LLMs, LMMs, their Improvement Suggestions and the Path towards AGI
LLMs, LMMs, their Improvement Suggestions and the Path towards AGILLMs, LMMs, their Improvement Suggestions and the Path towards AGI
LLMs, LMMs, their Improvement Suggestions and the Path towards AGI
 
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
毕业文凭制作#回国入职#diploma#degree澳洲中央昆士兰大学毕业证成绩单pdf电子版制作修改#毕业文凭制作#回国入职#diploma#degree
 
Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2
 
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
 
Heart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis ProjectHeart Disease Classification Report: A Data Analysis Project
Heart Disease Classification Report: A Data Analysis Project
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business Professionals
 
RABBIT: A CLI tool for identifying bots based on their GitHub events.
RABBIT: A CLI tool for identifying bots based on their GitHub events.RABBIT: A CLI tool for identifying bots based on their GitHub events.
RABBIT: A CLI tool for identifying bots based on their GitHub events.
 
Top 5 Best Data Analytics Courses In Queens
Top 5 Best Data Analytics Courses In QueensTop 5 Best Data Analytics Courses In Queens
Top 5 Best Data Analytics Courses In Queens
 
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
 
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default  Presentation : Data Analysis Project PPTPredictive Analysis for Loan Default  Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
 
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
 
detection and classification of knee osteoarthritis.pptx
detection and classification of knee osteoarthritis.pptxdetection and classification of knee osteoarthritis.pptx
detection and classification of knee osteoarthritis.pptx
 
modul pembelajaran robotic Workshop _ by Slidesgo.pptx
modul pembelajaran robotic Workshop _ by Slidesgo.pptxmodul pembelajaran robotic Workshop _ by Slidesgo.pptx
modul pembelajaran robotic Workshop _ by Slidesgo.pptx
 
Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...
Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...
Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...
 
How we prevented account sharing with MFA
How we prevented account sharing with MFAHow we prevented account sharing with MFA
How we prevented account sharing with MFA
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdf
 

Basic Descriptive statistics

  • 1. Basic Statistics : Descriptive Statistics
  • 2. What is Descriptive Statistics ? “ This is the statistics which deals with descriptive section of the data set as well as have tendency to describe the data set initially ”
  • 3. Commonly used measures to describe a data set :  Measures of Central Tendency  Measures of dispersion
  • 4. Measures of Central Tendency: A measure of central tendency is a single value that attempts to describe a set of data by identifying the central position within that set of data. The mean, median and mode are most likely the measures of central tendency that we are most familiar with. Mean (Arithmetic) : The mean (or average ) is equal to the sum of all the values in the data set divided by the number of values in the data set. So, if we have n values in a data set and they have values x1, x2, ..., xn, the sample mean, usually denoted by (pronounced x bar), is:
  • 5. Median The median is the middle score for a set of data that has been arranged in order of magnitude. Mode : The mode is the value that appears most often in a set of data.
  • 6. Measures of dispersion Range: The spread, or the distance, between the lowest and highest values of a variable. Interquartile Range: A quartile is the value that marks one of the divisions that breaks a series of values into four equal parts. The Interquartile range is the distance or range between the 25th percentile and the 75th percentile.
  • 7. Standard Deviation: The standard deviation gives an idea of how close the entire set of data is to the average value. Variance: Measures how far a set of numbers is spread out. A variance of zero indicates that all the values are identical. Variance is always non-negative, a small variance indicates that the data points tend to be very close to the mean (Average value), while a high variance indicates that the data points are very spread out around the mean.