SlideShare una empresa de Scribd logo
1 de 29
Session 2 - Learning Objectives ,[object Object],[object Object],[object Object],[object Object]
Example 8.1 Selecting a Sample of Families to Analyze Annual Incomes Methods for Selecting Random Samples
Objective To illustrate how Excel’s random number function, RAND, can be used to generate simple random samples.
RANDSAMP.XLS ,[object Object],[object Object],[object Object],[object Object]
Data
Sampling Terminology ,[object Object],[object Object],[object Object]
Sampling Terminology -- continued ,[object Object],[object Object],[object Object]
Solution ,[object Object],[object Object],[object Object],[object Object]
Solution -- continued ,[object Object],[object Object],[object Object]
Results
More Random Samples Automatically ,[object Object],[object Object]
Example  8.2 Sampling from Accounts Receivable at Spring Mills Company Methods for Selecting Random Samples
Objective To illustrate StatPro’s method of choosing simple random samples, and how the associated data can be found with Excel’s lookup functions.
RECEIVE.XLS ,[object Object],[object Object],[object Object],[object Object],[object Object]
Generated Random Sample
Solution ,[object Object],[object Object],[object Object]
Solution -- continued ,[object Object],[object Object]
Solution -- continued ,[object Object]
Solution -- continued ,[object Object]
Example 8.3 Stratified Sampling from the Smalltown Population of Sears Credit Card Holders Methods for Selecting Random Samples
Objective To illustrate how stratified sampling, with proportional sample sizes, can be implemented in Excel.
STRATIFIED.XLS ,[object Object],[object Object],[object Object],[object Object]
Systematic Sampling ,[object Object],[object Object],[object Object],[object Object],[object Object]
Stratified Sampling ,[object Object],[object Object],[object Object]
Stratified Sampling -- continued ,[object Object],[object Object],[object Object]
Solution ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Stratified Sample
Solution -- continued ,[object Object],[object Object],[object Object],[object Object]
Solution -- continued ,[object Object],[object Object],[object Object]

Más contenido relacionado

La actualidad más candente

An Introduction to SPSS
An Introduction to SPSSAn Introduction to SPSS
An Introduction to SPSSRajesh Gunesh
 
Introduction to spss 1
Introduction to spss 1Introduction to spss 1
Introduction to spss 1Michael Taiwo
 
Application of Machine Learning in Agriculture
Application of Machine  Learning in AgricultureApplication of Machine  Learning in Agriculture
Application of Machine Learning in AgricultureAman Vasisht
 
Business statistics-i-part1-aarhus-bss
Business statistics-i-part1-aarhus-bssBusiness statistics-i-part1-aarhus-bss
Business statistics-i-part1-aarhus-bssAntonio Rivero Ostoic
 
اىفناىنمفبانفيا
اىفناىنمفبانفيااىفناىنمفبانفيا
اىفناىنمفبانفياBisan Rjoub
 
Chapter 04
Chapter 04Chapter 04
Chapter 04bmcfad01
 
Using excel to convert raw score to z score
Using excel to convert raw score to z scoreUsing excel to convert raw score to z score
Using excel to convert raw score to z scoreSandra Nicks
 
Introduction To SPSS
Introduction To SPSSIntroduction To SPSS
Introduction To SPSSPhi Jack
 
Use of Excel in Statistics: Problem Solving Vs Problem Understanding
Use of Excel in Statistics: Problem Solving Vs Problem UnderstandingUse of Excel in Statistics: Problem Solving Vs Problem Understanding
Use of Excel in Statistics: Problem Solving Vs Problem UnderstandingIJITE
 

La actualidad más candente (19)

SPSS
SPSSSPSS
SPSS
 
An Introduction to SPSS
An Introduction to SPSSAn Introduction to SPSS
An Introduction to SPSS
 
Data management through spss
Data management through spssData management through spss
Data management through spss
 
Introduction to spss 1
Introduction to spss 1Introduction to spss 1
Introduction to spss 1
 
Lecture 1
Lecture 1Lecture 1
Lecture 1
 
Spss guidelines
Spss guidelinesSpss guidelines
Spss guidelines
 
Application of Machine Learning in Agriculture
Application of Machine  Learning in AgricultureApplication of Machine  Learning in Agriculture
Application of Machine Learning in Agriculture
 
Spss tutorial 1
Spss tutorial 1Spss tutorial 1
Spss tutorial 1
 
Spss beginners
Spss beginnersSpss beginners
Spss beginners
 
Spss an introduction
Spss  an introductionSpss  an introduction
Spss an introduction
 
Week 7 spss
Week 7 spssWeek 7 spss
Week 7 spss
 
Business statistics-i-part1-aarhus-bss
Business statistics-i-part1-aarhus-bssBusiness statistics-i-part1-aarhus-bss
Business statistics-i-part1-aarhus-bss
 
Spss beginners
Spss beginnersSpss beginners
Spss beginners
 
اىفناىنمفبانفيا
اىفناىنمفبانفيااىفناىنمفبانفيا
اىفناىنمفبانفيا
 
Chapter 04
Chapter 04Chapter 04
Chapter 04
 
Introduction To SPSS
Introduction To SPSSIntroduction To SPSS
Introduction To SPSS
 
Using excel to convert raw score to z score
Using excel to convert raw score to z scoreUsing excel to convert raw score to z score
Using excel to convert raw score to z score
 
Introduction To SPSS
Introduction To SPSSIntroduction To SPSS
Introduction To SPSS
 
Use of Excel in Statistics: Problem Solving Vs Problem Understanding
Use of Excel in Statistics: Problem Solving Vs Problem UnderstandingUse of Excel in Statistics: Problem Solving Vs Problem Understanding
Use of Excel in Statistics: Problem Solving Vs Problem Understanding
 

Destacado

Thiyagu statistics
Thiyagu   statisticsThiyagu   statistics
Thiyagu statisticsThiyagu K
 
Introduction to statistics 3
Introduction to statistics 3Introduction to statistics 3
Introduction to statistics 3David Balfour
 
Applied Statistics : Sampling method & central limit theorem
Applied Statistics : Sampling method & central limit theoremApplied Statistics : Sampling method & central limit theorem
Applied Statistics : Sampling method & central limit theoremwahidsajol
 
Powerpoint sampling distribution
Powerpoint sampling distributionPowerpoint sampling distribution
Powerpoint sampling distributionSusan McCourt
 
Central limit theorem
Central limit theoremCentral limit theorem
Central limit theoremVijeesh Soman
 
2 sampling design (1)
2 sampling design (1)2 sampling design (1)
2 sampling design (1)Vinay Jeengar
 
Chapter 5 part1- The Sampling Distribution of a Sample Mean
Chapter 5 part1- The Sampling Distribution of a Sample MeanChapter 5 part1- The Sampling Distribution of a Sample Mean
Chapter 5 part1- The Sampling Distribution of a Sample Meannszakir
 
Stratified Random Sampling
Stratified Random SamplingStratified Random Sampling
Stratified Random Samplingkinnari raval
 
Sampling distribution
Sampling distributionSampling distribution
Sampling distributionDanu Saputra
 
Sampling methods PPT
Sampling methods PPTSampling methods PPT
Sampling methods PPTVijay Mehta
 
Sample and sampling techniques
Sample and sampling techniquesSample and sampling techniques
Sample and sampling techniquesNursing Path
 
RESEARCH METHOD - SAMPLING
RESEARCH METHOD - SAMPLINGRESEARCH METHOD - SAMPLING
RESEARCH METHOD - SAMPLINGHafizah Hajimia
 
Test Driven Design - GDG DevFest Istanbul 2016
Test Driven Design - GDG DevFest Istanbul 2016Test Driven Design - GDG DevFest Istanbul 2016
Test Driven Design - GDG DevFest Istanbul 2016Lemi Orhan Ergin
 

Destacado (20)

Thiyagu statistics
Thiyagu   statisticsThiyagu   statistics
Thiyagu statistics
 
Statistics
StatisticsStatistics
Statistics
 
Introduction To Statistics
Introduction To StatisticsIntroduction To Statistics
Introduction To Statistics
 
Introduction to statistics 3
Introduction to statistics 3Introduction to statistics 3
Introduction to statistics 3
 
Applied Statistics : Sampling method & central limit theorem
Applied Statistics : Sampling method & central limit theoremApplied Statistics : Sampling method & central limit theorem
Applied Statistics : Sampling method & central limit theorem
 
Powerpoint sampling distribution
Powerpoint sampling distributionPowerpoint sampling distribution
Powerpoint sampling distribution
 
Central limit theorem
Central limit theoremCentral limit theorem
Central limit theorem
 
2 sampling design (1)
2 sampling design (1)2 sampling design (1)
2 sampling design (1)
 
Chapter 5 part1- The Sampling Distribution of a Sample Mean
Chapter 5 part1- The Sampling Distribution of a Sample MeanChapter 5 part1- The Sampling Distribution of a Sample Mean
Chapter 5 part1- The Sampling Distribution of a Sample Mean
 
Stratified Random Sampling
Stratified Random SamplingStratified Random Sampling
Stratified Random Sampling
 
Sampling distribution
Sampling distributionSampling distribution
Sampling distribution
 
Sampling distribution
Sampling distributionSampling distribution
Sampling distribution
 
Sampling Distributions
Sampling DistributionsSampling Distributions
Sampling Distributions
 
Chapter 8-SAMPLE & SAMPLING TECHNIQUES
Chapter 8-SAMPLE & SAMPLING TECHNIQUESChapter 8-SAMPLE & SAMPLING TECHNIQUES
Chapter 8-SAMPLE & SAMPLING TECHNIQUES
 
Sampling methods PPT
Sampling methods PPTSampling methods PPT
Sampling methods PPT
 
Sampling
SamplingSampling
Sampling
 
Sample and sampling techniques
Sample and sampling techniquesSample and sampling techniques
Sample and sampling techniques
 
sampling ppt
sampling pptsampling ppt
sampling ppt
 
RESEARCH METHOD - SAMPLING
RESEARCH METHOD - SAMPLINGRESEARCH METHOD - SAMPLING
RESEARCH METHOD - SAMPLING
 
Test Driven Design - GDG DevFest Istanbul 2016
Test Driven Design - GDG DevFest Istanbul 2016Test Driven Design - GDG DevFest Istanbul 2016
Test Driven Design - GDG DevFest Istanbul 2016
 

Similar a Session02

1.0 Descriptive statistics.pdf
1.0 Descriptive statistics.pdf1.0 Descriptive statistics.pdf
1.0 Descriptive statistics.pdfthaersyam
 
PSUnit_IV_Lesson_1_Computing_the_Point_Estimate_of_a_Population_Mean.pptx
PSUnit_IV_Lesson_1_Computing_the_Point_Estimate_of_a_Population_Mean.pptxPSUnit_IV_Lesson_1_Computing_the_Point_Estimate_of_a_Population_Mean.pptx
PSUnit_IV_Lesson_1_Computing_the_Point_Estimate_of_a_Population_Mean.pptxErwin806347
 
Penggambaran Data dengan Grafik
Penggambaran Data dengan GrafikPenggambaran Data dengan Grafik
Penggambaran Data dengan Grafikanom0164
 
Statistics
StatisticsStatistics
Statisticspikuoec
 
As mentioned earlier, the mid-term will have conceptual and quanti.docx
As mentioned earlier, the mid-term will have conceptual and quanti.docxAs mentioned earlier, the mid-term will have conceptual and quanti.docx
As mentioned earlier, the mid-term will have conceptual and quanti.docxfredharris32
 
Chapter 03
Chapter 03Chapter 03
Chapter 03bmcfad01
 
Statistics final seminar
Statistics final seminarStatistics final seminar
Statistics final seminarTejas Jagtap
 
InnerSoft STATS - Analyze
InnerSoft STATS - AnalyzeInnerSoft STATS - Analyze
InnerSoft STATS - AnalyzeInnerSoft
 
data analysis techniques and statistical softwares
data analysis techniques and statistical softwaresdata analysis techniques and statistical softwares
data analysis techniques and statistical softwaresDr.ammara khakwani
 
OPTION 3 Confidence Interval on the Mean – one sample (T-Interva.docx
OPTION 3  Confidence Interval on the Mean – one sample (T-Interva.docxOPTION 3  Confidence Interval on the Mean – one sample (T-Interva.docx
OPTION 3 Confidence Interval on the Mean – one sample (T-Interva.docxhopeaustin33688
 
Assignment #9First, we recall some definitions that will be help.docx
Assignment #9First, we recall some definitions that will be help.docxAssignment #9First, we recall some definitions that will be help.docx
Assignment #9First, we recall some definitions that will be help.docxfredharris32
 
UNIT III - Arrays - Measures of Center and Variation (2).ppt
UNIT III - Arrays - Measures of Center and Variation (2).pptUNIT III - Arrays - Measures of Center and Variation (2).ppt
UNIT III - Arrays - Measures of Center and Variation (2).pptAjithGhoyal
 
Introduction to Statistics (Part -I)
Introduction to Statistics (Part -I)Introduction to Statistics (Part -I)
Introduction to Statistics (Part -I)YesAnalytics
 
Numerical and statistical methods new
Numerical and statistical methods newNumerical and statistical methods new
Numerical and statistical methods newAabha Tiwari
 
Sampling techniques new
Sampling techniques newSampling techniques new
Sampling techniques newGeeta80373
 
Sampling techniques new
Sampling techniques newSampling techniques new
Sampling techniques newbabita jangra
 

Similar a Session02 (20)

1.0 Descriptive statistics.pdf
1.0 Descriptive statistics.pdf1.0 Descriptive statistics.pdf
1.0 Descriptive statistics.pdf
 
PSUnit_IV_Lesson_1_Computing_the_Point_Estimate_of_a_Population_Mean.pptx
PSUnit_IV_Lesson_1_Computing_the_Point_Estimate_of_a_Population_Mean.pptxPSUnit_IV_Lesson_1_Computing_the_Point_Estimate_of_a_Population_Mean.pptx
PSUnit_IV_Lesson_1_Computing_the_Point_Estimate_of_a_Population_Mean.pptx
 
Penggambaran Data dengan Grafik
Penggambaran Data dengan GrafikPenggambaran Data dengan Grafik
Penggambaran Data dengan Grafik
 
Statistics
StatisticsStatistics
Statistics
 
Descriptive Analytics: Data Reduction
 Descriptive Analytics: Data Reduction Descriptive Analytics: Data Reduction
Descriptive Analytics: Data Reduction
 
As mentioned earlier, the mid-term will have conceptual and quanti.docx
As mentioned earlier, the mid-term will have conceptual and quanti.docxAs mentioned earlier, the mid-term will have conceptual and quanti.docx
As mentioned earlier, the mid-term will have conceptual and quanti.docx
 
Chapter 03
Chapter 03Chapter 03
Chapter 03
 
Statistics final seminar
Statistics final seminarStatistics final seminar
Statistics final seminar
 
InnerSoft STATS - Analyze
InnerSoft STATS - AnalyzeInnerSoft STATS - Analyze
InnerSoft STATS - Analyze
 
data analysis techniques and statistical softwares
data analysis techniques and statistical softwaresdata analysis techniques and statistical softwares
data analysis techniques and statistical softwares
 
Semana8 muestreo
Semana8 muestreoSemana8 muestreo
Semana8 muestreo
 
OPTION 3 Confidence Interval on the Mean – one sample (T-Interva.docx
OPTION 3  Confidence Interval on the Mean – one sample (T-Interva.docxOPTION 3  Confidence Interval on the Mean – one sample (T-Interva.docx
OPTION 3 Confidence Interval on the Mean – one sample (T-Interva.docx
 
Chapter3
Chapter3Chapter3
Chapter3
 
Statistics
StatisticsStatistics
Statistics
 
Assignment #9First, we recall some definitions that will be help.docx
Assignment #9First, we recall some definitions that will be help.docxAssignment #9First, we recall some definitions that will be help.docx
Assignment #9First, we recall some definitions that will be help.docx
 
UNIT III - Arrays - Measures of Center and Variation (2).ppt
UNIT III - Arrays - Measures of Center and Variation (2).pptUNIT III - Arrays - Measures of Center and Variation (2).ppt
UNIT III - Arrays - Measures of Center and Variation (2).ppt
 
Introduction to Statistics (Part -I)
Introduction to Statistics (Part -I)Introduction to Statistics (Part -I)
Introduction to Statistics (Part -I)
 
Numerical and statistical methods new
Numerical and statistical methods newNumerical and statistical methods new
Numerical and statistical methods new
 
Sampling techniques new
Sampling techniques newSampling techniques new
Sampling techniques new
 
Sampling techniques new
Sampling techniques newSampling techniques new
Sampling techniques new
 

Session02