SlideShare a Scribd company logo
1 of 16
Download to read offline
BASICTERMS IN
“STAT IS EEKS”
Sir LY
Objectives
•Define universe and differentiate it with
population; and
•Define and differentiate between qualitative
and quantitative variables, and between
discrete and continuous variables (that are
quantitative);
Definition of BasicTERMS
UNIVERSE (of the study) - The collection of
respondents from whom one obtain the data
What is the UNIVERSE of the study in our past
activity?
Variables
•is a characteristic that is observable or
measurable in every unit of the universe.
What are the variables in the activity?
POPULATION
•the entire set of items from which you
draw data for a statistical study
•any complete group with at least one
characteristic in common
SAMPLE
•A subgroup of a universe or of a
population
•Smaller and more manageable
representation of a larger group
•Unbiased subset of a population that best
represents the whole data.
Population parameter vs. sample
statistics
•Population parameter is a numerical value that
describes a characteristics of a population while
sample statistics is a numerical value that
describes a characteristics of a sample
•MEAN vs SAMPLE MEAN
•SD vs Sample SD
BROAD
CLASSIFICATION OF
VARIABLES
Sir LY
variable
Qualitative Quantitative
Continuous
Discrete
Qualitative variable
•Express a categorical attribute
•Not strictly take on numerical values
•Answers the questionWHAT KIND?
•Sometimes it considers the sense of
ordering
•Also known as categorical variables
Quantitative variable
•a.k.a Numerical
•Answers the question HOW MUCH/HOW
MANY?
•With actual units
Discrete vs Continuous
•Discrete data are those that can be counted whole
continuous data are those that can be measured
TEST
TEST
•Can you add 300
and 301?
Keypoints
•A universe is a collection of units from which the data were
gathered.
•A variable is a characteristic we observed or measured from
every element of the universe.
•A population is a set of all possible values of a variable.
•A sample is a subgroup of a universe or a population.
•In a study there is only one universe but could have several
populations.
•Variables could be classified as qualitative or quantitative, and
the latter could be further classified as discrete or continuous.

More Related Content

Similar to 03 Basic Terms in Statistics.pdf

419794900-Chapter-1-Nature-of-Inquiry-and-Research.pptx
419794900-Chapter-1-Nature-of-Inquiry-and-Research.pptx419794900-Chapter-1-Nature-of-Inquiry-and-Research.pptx
419794900-Chapter-1-Nature-of-Inquiry-and-Research.pptx
JessaBejer1
 
typesofvariablesinresearchankitach-181022084515.docx
typesofvariablesinresearchankitach-181022084515.docxtypesofvariablesinresearchankitach-181022084515.docx
typesofvariablesinresearchankitach-181022084515.docx
saranya443113
 
Univariate Analysis
 Univariate Analysis Univariate Analysis
Univariate Analysis
Soumya Sahoo
 
Formulating a Hypothesis
Formulating a HypothesisFormulating a Hypothesis
Formulating a Hypothesis
bjkim0228
 
Session_12_-_Data_Collection,_Analy_237.ppt
Session_12_-_Data_Collection,_Analy_237.pptSession_12_-_Data_Collection,_Analy_237.ppt
Session_12_-_Data_Collection,_Analy_237.ppt
mousaderhem1
 

Similar to 03 Basic Terms in Statistics.pdf (20)

419794900-Chapter-1-Nature-of-Inquiry-and-Research.pptx
419794900-Chapter-1-Nature-of-Inquiry-and-Research.pptx419794900-Chapter-1-Nature-of-Inquiry-and-Research.pptx
419794900-Chapter-1-Nature-of-Inquiry-and-Research.pptx
 
Types of variables in research
Types of variables in research Types of variables in research
Types of variables in research
 
Quantitative Research Design.pptx
Quantitative Research Design.pptxQuantitative Research Design.pptx
Quantitative Research Design.pptx
 
typesofvariablesinresearchankitach-181022084515.docx
typesofvariablesinresearchankitach-181022084515.docxtypesofvariablesinresearchankitach-181022084515.docx
typesofvariablesinresearchankitach-181022084515.docx
 
Introduction to statistics.pptx
Introduction to statistics.pptxIntroduction to statistics.pptx
Introduction to statistics.pptx
 
Chapter 2 The Science of Psychological Measurement (Alivio, Ansula).pptx
Chapter 2 The Science of Psychological Measurement (Alivio, Ansula).pptxChapter 2 The Science of Psychological Measurement (Alivio, Ansula).pptx
Chapter 2 The Science of Psychological Measurement (Alivio, Ansula).pptx
 
PRESENTATION.pptx
PRESENTATION.pptxPRESENTATION.pptx
PRESENTATION.pptx
 
Variables.pptx
Variables.pptxVariables.pptx
Variables.pptx
 
DISCRIMINANT ANALYSIS.pptx
DISCRIMINANT ANALYSIS.pptxDISCRIMINANT ANALYSIS.pptx
DISCRIMINANT ANALYSIS.pptx
 
Univariate Analysis
 Univariate Analysis Univariate Analysis
Univariate Analysis
 
Right statistics for the right research questions
Right statistics for the right research questionsRight statistics for the right research questions
Right statistics for the right research questions
 
Formulating a Hypothesis
Formulating a HypothesisFormulating a Hypothesis
Formulating a Hypothesis
 
Session_12_-_Data_Collection,_Analy_237.ppt
Session_12_-_Data_Collection,_Analy_237.pptSession_12_-_Data_Collection,_Analy_237.ppt
Session_12_-_Data_Collection,_Analy_237.ppt
 
Session_12_-_Data_Collection,_Analy_237.ppt
Session_12_-_Data_Collection,_Analy_237.pptSession_12_-_Data_Collection,_Analy_237.ppt
Session_12_-_Data_Collection,_Analy_237.ppt
 
Biostatistics ppt
Biostatistics  pptBiostatistics  ppt
Biostatistics ppt
 
introduction to statistical theory
introduction to statistical theoryintroduction to statistical theory
introduction to statistical theory
 
Statistics
StatisticsStatistics
Statistics
 
Types of measurement scales in research methodology
Types of measurement scales in research methodologyTypes of measurement scales in research methodology
Types of measurement scales in research methodology
 
Biostatistic 2.pptx
Biostatistic 2.pptxBiostatistic 2.pptx
Biostatistic 2.pptx
 
01 Introduction (1).pptx
01 Introduction (1).pptx01 Introduction (1).pptx
01 Introduction (1).pptx
 

More from binoy ly (6)

05 Data pRESENTATION.pdf
05 Data pRESENTATION.pdf05 Data pRESENTATION.pdf
05 Data pRESENTATION.pdf
 
02 CONTEXTUALIZATION OF DATA.pdf
02 CONTEXTUALIZATION OF DATA.pdf02 CONTEXTUALIZATION OF DATA.pdf
02 CONTEXTUALIZATION OF DATA.pdf
 
01 Introducing Statistics.pdf
01 Introducing Statistics.pdf01 Introducing Statistics.pdf
01 Introducing Statistics.pdf
 
04 LEVELS OF MEASUREMENT.pdf
04 LEVELS OF MEASUREMENT.pdf04 LEVELS OF MEASUREMENT.pdf
04 LEVELS OF MEASUREMENT.pdf
 
LEVELs of measurement.pptx
LEVELs of measurement.pptxLEVELs of measurement.pptx
LEVELs of measurement.pptx
 
Illustrating Random Variables and Distinguishing Between a Discrete.pptx
Illustrating Random Variables and Distinguishing Between a Discrete.pptxIllustrating Random Variables and Distinguishing Between a Discrete.pptx
Illustrating Random Variables and Distinguishing Between a Discrete.pptx
 

Recently uploaded

Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
EADTU
 
Spellings Wk 4 and Wk 5 for Grade 4 at CAPS
Spellings Wk 4 and Wk 5 for Grade 4 at CAPSSpellings Wk 4 and Wk 5 for Grade 4 at CAPS
Spellings Wk 4 and Wk 5 for Grade 4 at CAPS
AnaAcapella
 
Personalisation of Education by AI and Big Data - Lourdes Guàrdia
Personalisation of Education by AI and Big Data - Lourdes GuàrdiaPersonalisation of Education by AI and Big Data - Lourdes Guàrdia
Personalisation of Education by AI and Big Data - Lourdes Guàrdia
EADTU
 
會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽
會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽
會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽
中 央社
 

Recently uploaded (20)

Basic Civil Engineering notes on Transportation Engineering & Modes of Transport
Basic Civil Engineering notes on Transportation Engineering & Modes of TransportBasic Civil Engineering notes on Transportation Engineering & Modes of Transport
Basic Civil Engineering notes on Transportation Engineering & Modes of Transport
 
Observing-Correct-Grammar-in-Making-Definitions.pptx
Observing-Correct-Grammar-in-Making-Definitions.pptxObserving-Correct-Grammar-in-Making-Definitions.pptx
Observing-Correct-Grammar-in-Making-Definitions.pptx
 
8 Tips for Effective Working Capital Management
8 Tips for Effective Working Capital Management8 Tips for Effective Working Capital Management
8 Tips for Effective Working Capital Management
 
TỔNG HỢP HƠN 100 ĐỀ THI THỬ TỐT NGHIỆP THPT TOÁN 2024 - TỪ CÁC TRƯỜNG, TRƯỜNG...
TỔNG HỢP HƠN 100 ĐỀ THI THỬ TỐT NGHIỆP THPT TOÁN 2024 - TỪ CÁC TRƯỜNG, TRƯỜNG...TỔNG HỢP HƠN 100 ĐỀ THI THỬ TỐT NGHIỆP THPT TOÁN 2024 - TỪ CÁC TRƯỜNG, TRƯỜNG...
TỔNG HỢP HƠN 100 ĐỀ THI THỬ TỐT NGHIỆP THPT TOÁN 2024 - TỪ CÁC TRƯỜNG, TRƯỜNG...
 
ESSENTIAL of (CS/IT/IS) class 07 (Networks)
ESSENTIAL of (CS/IT/IS) class 07 (Networks)ESSENTIAL of (CS/IT/IS) class 07 (Networks)
ESSENTIAL of (CS/IT/IS) class 07 (Networks)
 
Trauma-Informed Leadership - Five Practical Principles
Trauma-Informed Leadership - Five Practical PrinciplesTrauma-Informed Leadership - Five Practical Principles
Trauma-Informed Leadership - Five Practical Principles
 
MOOD STABLIZERS DRUGS.pptx
MOOD     STABLIZERS           DRUGS.pptxMOOD     STABLIZERS           DRUGS.pptx
MOOD STABLIZERS DRUGS.pptx
 
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
Transparency, Recognition and the role of eSealing - Ildiko Mazar and Koen No...
 
FICTIONAL SALESMAN/SALESMAN SNSW 2024.pdf
FICTIONAL SALESMAN/SALESMAN SNSW 2024.pdfFICTIONAL SALESMAN/SALESMAN SNSW 2024.pdf
FICTIONAL SALESMAN/SALESMAN SNSW 2024.pdf
 
Spellings Wk 4 and Wk 5 for Grade 4 at CAPS
Spellings Wk 4 and Wk 5 for Grade 4 at CAPSSpellings Wk 4 and Wk 5 for Grade 4 at CAPS
Spellings Wk 4 and Wk 5 for Grade 4 at CAPS
 
Personalisation of Education by AI and Big Data - Lourdes Guàrdia
Personalisation of Education by AI and Big Data - Lourdes GuàrdiaPersonalisation of Education by AI and Big Data - Lourdes Guàrdia
Personalisation of Education by AI and Big Data - Lourdes Guàrdia
 
Sternal Fractures & Dislocations - EMGuidewire Radiology Reading Room
Sternal Fractures & Dislocations - EMGuidewire Radiology Reading RoomSternal Fractures & Dislocations - EMGuidewire Radiology Reading Room
Sternal Fractures & Dislocations - EMGuidewire Radiology Reading Room
 
會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽
會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽
會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽會考英聽
 
Mattingly "AI & Prompt Design: Named Entity Recognition"
Mattingly "AI & Prompt Design: Named Entity Recognition"Mattingly "AI & Prompt Design: Named Entity Recognition"
Mattingly "AI & Prompt Design: Named Entity Recognition"
 
Mattingly "AI and Prompt Design: LLMs with NER"
Mattingly "AI and Prompt Design: LLMs with NER"Mattingly "AI and Prompt Design: LLMs with NER"
Mattingly "AI and Prompt Design: LLMs with NER"
 
Andreas Schleicher presents at the launch of What does child empowerment mean...
Andreas Schleicher presents at the launch of What does child empowerment mean...Andreas Schleicher presents at the launch of What does child empowerment mean...
Andreas Schleicher presents at the launch of What does child empowerment mean...
 
An overview of the various scriptures in Hinduism
An overview of the various scriptures in HinduismAn overview of the various scriptures in Hinduism
An overview of the various scriptures in Hinduism
 
Supporting Newcomer Multilingual Learners
Supporting Newcomer  Multilingual LearnersSupporting Newcomer  Multilingual Learners
Supporting Newcomer Multilingual Learners
 
Improved Approval Flow in Odoo 17 Studio App
Improved Approval Flow in Odoo 17 Studio AppImproved Approval Flow in Odoo 17 Studio App
Improved Approval Flow in Odoo 17 Studio App
 
OSCM Unit 2_Operations Processes & Systems
OSCM Unit 2_Operations Processes & SystemsOSCM Unit 2_Operations Processes & Systems
OSCM Unit 2_Operations Processes & Systems
 

03 Basic Terms in Statistics.pdf