SlideShare a Scribd company logo
Quiz # 3 (A)


 1.   Which of the following measures is affected most by extreme values?


      A)    Median    B) Mean C)   Mode


2.    Which level of measurement is required for the median?


           A)   Nominal   B) Ordinal   C)   Ratio


3.    Which level of measurement is required for the mode?


           A)   Nominal   B) Ordinal   C)   Ratio


4.    What is the median of the sample 5, 5, 11, 9, 8, 5, 8?



5.    The mean of 5 numbers is 7. One of the numbers, 9, is deleted.


           What is the mean of the remaining 4 numbers?


6.    Which measure of central tendency is the best? Why?


7.    In what situations, HM and GM are not applicable?


8.    Find the mean for the series 1000, 2000, 3000, ………… , 50000.


9.    Find the mean for the series 1, 2, 3, ………… , 500.


10.   Explain the concept of GM with an example?
Md. Mortuza Ahmmed

More Related Content

What's hot

Practice Test 2 Solutions
Practice Test 2  SolutionsPractice Test 2  Solutions
Practice Test 2 Solutions
Long Beach City College
 
The Standard Normal Distribution
The Standard Normal DistributionThe Standard Normal Distribution
The Standard Normal Distribution
Long Beach City College
 
z-test
z-testz-test
t test using spss
t test using spsst test using spss
t test using spss
Parag Shah
 
Basics stat ppt-types of data
Basics stat ppt-types of dataBasics stat ppt-types of data
Basics stat ppt-types of data
Farhana Shaheen
 
Goodness of-fit
Goodness of-fit  Goodness of-fit
Goodness of-fit
Long Beach City College
 
Introduction to Statistics (Part -I)
Introduction to Statistics (Part -I)Introduction to Statistics (Part -I)
Introduction to Statistics (Part -I)
YesAnalytics
 
Independent samples t-test
Independent samples t-testIndependent samples t-test
Independent samples t-test
Kaori Kubo Germano, PhD
 
Lecture 5: Interval Estimation
Lecture 5: Interval Estimation Lecture 5: Interval Estimation
Lecture 5: Interval Estimation
Marina Santini
 
probability
probabilityprobability
probability
Unsa Shakir
 
2 measure of central tendency
2 measure of central  tendency2 measure of central  tendency
2 measure of central tendency
Anas Farooq Maniya AFM
 
Hypothesis testing an introduction
Hypothesis testing an introductionHypothesis testing an introduction
Hypothesis testing an introductionGeetika Gulyani
 
Chi square test final
Chi square test finalChi square test final
Chi square test final
Har Jindal
 
Graphical presentation of data
Graphical presentation of dataGraphical presentation of data
Graphical presentation of dataprince irfan
 
Testing of hypothesis
Testing of hypothesisTesting of hypothesis
Testing of hypothesis
RuchiJainRuchiJain
 
The Sign Test
The Sign TestThe Sign Test
The Sign Test
Sharlaine Ruth
 
Statistics for Data Analytics
Statistics for Data AnalyticsStatistics for Data Analytics
Statistics for Data Analytics
SSaudia
 
Hypothesis testing
Hypothesis testingHypothesis testing
Hypothesis testing
Shameer P Hamsa
 
Hypothesis testing: A single sample test
Hypothesis testing: A single sample testHypothesis testing: A single sample test
Hypothesis testing: A single sample test
Umme Salma Tuli
 

What's hot (20)

Practice Test 2 Solutions
Practice Test 2  SolutionsPractice Test 2  Solutions
Practice Test 2 Solutions
 
The Standard Normal Distribution
The Standard Normal DistributionThe Standard Normal Distribution
The Standard Normal Distribution
 
z-test
z-testz-test
z-test
 
t test using spss
t test using spsst test using spss
t test using spss
 
Basics stat ppt-types of data
Basics stat ppt-types of dataBasics stat ppt-types of data
Basics stat ppt-types of data
 
Goodness of-fit
Goodness of-fit  Goodness of-fit
Goodness of-fit
 
Sampling theory
Sampling theorySampling theory
Sampling theory
 
Introduction to Statistics (Part -I)
Introduction to Statistics (Part -I)Introduction to Statistics (Part -I)
Introduction to Statistics (Part -I)
 
Independent samples t-test
Independent samples t-testIndependent samples t-test
Independent samples t-test
 
Lecture 5: Interval Estimation
Lecture 5: Interval Estimation Lecture 5: Interval Estimation
Lecture 5: Interval Estimation
 
probability
probabilityprobability
probability
 
2 measure of central tendency
2 measure of central  tendency2 measure of central  tendency
2 measure of central tendency
 
Hypothesis testing an introduction
Hypothesis testing an introductionHypothesis testing an introduction
Hypothesis testing an introduction
 
Chi square test final
Chi square test finalChi square test final
Chi square test final
 
Graphical presentation of data
Graphical presentation of dataGraphical presentation of data
Graphical presentation of data
 
Testing of hypothesis
Testing of hypothesisTesting of hypothesis
Testing of hypothesis
 
The Sign Test
The Sign TestThe Sign Test
The Sign Test
 
Statistics for Data Analytics
Statistics for Data AnalyticsStatistics for Data Analytics
Statistics for Data Analytics
 
Hypothesis testing
Hypothesis testingHypothesis testing
Hypothesis testing
 
Hypothesis testing: A single sample test
Hypothesis testing: A single sample testHypothesis testing: A single sample test
Hypothesis testing: A single sample test
 

Similar to Exam Questions on Basic Statistics

Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic StatisticsIUBAT
 
Qnt 561 final exam
Qnt 561 final examQnt 561 final exam
Qnt 561 final exam
vioregardthis1986
 
Statistics and Probability Reviewer.pptx
Statistics and Probability Reviewer.pptxStatistics and Probability Reviewer.pptx
Statistics and Probability Reviewer.pptx
JERWINTELACAS
 
Practice Test 3B
Practice Test 3B  Practice Test 3B
Practice Test 3B
Long Beach City College
 
Advanced Statistics.pptx
Advanced Statistics.pptxAdvanced Statistics.pptx
Advanced Statistics.pptx
RenatoNiofrancoPacpa
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic StatisticsIUBAT
 
Practice Test 1
Practice Test 1Practice Test 1
Practice Test 1
Long Beach City College
 
Statistics for People Who Hate Statistics 5th Edition Salkind Test Bank
Statistics for People Who Hate Statistics 5th Edition Salkind Test BankStatistics for People Who Hate Statistics 5th Edition Salkind Test Bank
Statistics for People Who Hate Statistics 5th Edition Salkind Test Bank
RashadNixon
 
Res 341 final exams
Res 341 final exams Res 341 final exams
Res 341 final exams
MARKSHEET
 
AbstractKnowledge-Based computerized management information syst.docx
AbstractKnowledge-Based computerized management information syst.docxAbstractKnowledge-Based computerized management information syst.docx
AbstractKnowledge-Based computerized management information syst.docx
SALU18
 
AbstractKnowledge-Based computerized management information syst.docx
AbstractKnowledge-Based computerized management information syst.docxAbstractKnowledge-Based computerized management information syst.docx
AbstractKnowledge-Based computerized management information syst.docx
ronak56
 
8 1 Notes
8 1 Notes8 1 Notes
8 1 Notesmbetzel
 
501 assignment1
501 assignment1501 assignment1
501 assignment1Wa Ain
 
This is my statistics exam I need help I have been lost this whole s.docx
This is my statistics exam I need help I have been lost this whole s.docxThis is my statistics exam I need help I have been lost this whole s.docx
This is my statistics exam I need help I have been lost this whole s.docx
divinapavey
 
1. What type of research uses numeric measurement data (Points .docx
1. What type of research uses numeric measurement data (Points  .docx1. What type of research uses numeric measurement data (Points  .docx
1. What type of research uses numeric measurement data (Points .docx
jackiewalcutt
 

Similar to Exam Questions on Basic Statistics (16)

Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic Statistics
 
Qnt 561 final exam
Qnt 561 final examQnt 561 final exam
Qnt 561 final exam
 
Statistics and Probability Reviewer.pptx
Statistics and Probability Reviewer.pptxStatistics and Probability Reviewer.pptx
Statistics and Probability Reviewer.pptx
 
Practice Test 3B
Practice Test 3B  Practice Test 3B
Practice Test 3B
 
Advanced Statistics.pptx
Advanced Statistics.pptxAdvanced Statistics.pptx
Advanced Statistics.pptx
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic Statistics
 
Practice Test 1
Practice Test 1Practice Test 1
Practice Test 1
 
Statistics for People Who Hate Statistics 5th Edition Salkind Test Bank
Statistics for People Who Hate Statistics 5th Edition Salkind Test BankStatistics for People Who Hate Statistics 5th Edition Salkind Test Bank
Statistics for People Who Hate Statistics 5th Edition Salkind Test Bank
 
Res 341 final exams
Res 341 final exams Res 341 final exams
Res 341 final exams
 
AbstractKnowledge-Based computerized management information syst.docx
AbstractKnowledge-Based computerized management information syst.docxAbstractKnowledge-Based computerized management information syst.docx
AbstractKnowledge-Based computerized management information syst.docx
 
AbstractKnowledge-Based computerized management information syst.docx
AbstractKnowledge-Based computerized management information syst.docxAbstractKnowledge-Based computerized management information syst.docx
AbstractKnowledge-Based computerized management information syst.docx
 
8 1 Notes
8 1 Notes8 1 Notes
8 1 Notes
 
501 assignment1
501 assignment1501 assignment1
501 assignment1
 
This is my statistics exam I need help I have been lost this whole s.docx
This is my statistics exam I need help I have been lost this whole s.docxThis is my statistics exam I need help I have been lost this whole s.docx
This is my statistics exam I need help I have been lost this whole s.docx
 
1. What type of research uses numeric measurement data (Points .docx
1. What type of research uses numeric measurement data (Points  .docx1. What type of research uses numeric measurement data (Points  .docx
1. What type of research uses numeric measurement data (Points .docx
 
Qnt 561
Qnt 561Qnt 561
Qnt 561
 

More from IUBAT

Basic Statistics Presentation
Basic Statistics PresentationBasic Statistics Presentation
Basic Statistics PresentationIUBAT
 
Lecture sheet
Lecture sheetLecture sheet
Lecture sheetIUBAT
 
Course outline sta 240 spring semester 2011
Course outline sta 240 spring semester 2011Course outline sta 240 spring semester 2011
Course outline sta 240 spring semester 2011IUBAT
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic StatisticsIUBAT
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic StatisticsIUBAT
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic StatisticsIUBAT
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic StatisticsIUBAT
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic StatisticsIUBAT
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic StatisticsIUBAT
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic StatisticsIUBAT
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic StatisticsIUBAT
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic StatisticsIUBAT
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic StatisticsIUBAT
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic StatisticsIUBAT
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic StatisticsIUBAT
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic StatisticsIUBAT
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic StatisticsIUBAT
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic StatisticsIUBAT
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic StatisticsIUBAT
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic StatisticsIUBAT
 

More from IUBAT (20)

Basic Statistics Presentation
Basic Statistics PresentationBasic Statistics Presentation
Basic Statistics Presentation
 
Lecture sheet
Lecture sheetLecture sheet
Lecture sheet
 
Course outline sta 240 spring semester 2011
Course outline sta 240 spring semester 2011Course outline sta 240 spring semester 2011
Course outline sta 240 spring semester 2011
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic Statistics
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic Statistics
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic Statistics
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic Statistics
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic Statistics
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic Statistics
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic Statistics
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic Statistics
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic Statistics
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic Statistics
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic Statistics
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic Statistics
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic Statistics
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic Statistics
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic Statistics
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic Statistics
 
Exam Questions on Basic Statistics
Exam Questions on Basic StatisticsExam Questions on Basic Statistics
Exam Questions on Basic Statistics
 

Recently uploaded

Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
Adtran
 
By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024
Pierluigi Pugliese
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
DanBrown980551
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
Octavian Nadolu
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Matthew Sinclair
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
mikeeftimakis1
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
Alpen-Adria-Universität
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Neo4j
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
Aftab Hussain
 
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
DianaGray10
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
Matthew Sinclair
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
DianaGray10
 
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
SOFTTECHHUB
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Albert Hoitingh
 

Recently uploaded (20)

Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
 
By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024By Design, not by Accident - Agile Venture Bolzano 2024
By Design, not by Accident - Agile Venture Bolzano 2024
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 
Artificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopmentArtificial Intelligence for XMLDevelopment
Artificial Intelligence for XMLDevelopment
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 
Video Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the FutureVideo Streaming: Then, Now, and in the Future
Video Streaming: Then, Now, and in the Future
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
 
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
 
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
 

Exam Questions on Basic Statistics

  • 1. Quiz # 3 (A) 1. Which of the following measures is affected most by extreme values? A) Median B) Mean C) Mode 2. Which level of measurement is required for the median? A) Nominal B) Ordinal C) Ratio 3. Which level of measurement is required for the mode? A) Nominal B) Ordinal C) Ratio 4. What is the median of the sample 5, 5, 11, 9, 8, 5, 8? 5. The mean of 5 numbers is 7. One of the numbers, 9, is deleted. What is the mean of the remaining 4 numbers? 6. Which measure of central tendency is the best? Why? 7. In what situations, HM and GM are not applicable? 8. Find the mean for the series 1000, 2000, 3000, ………… , 50000. 9. Find the mean for the series 1, 2, 3, ………… , 500. 10. Explain the concept of GM with an example?