SlideShare a Scribd company logo
DATA INTERPRETATION
Distribution of candidates who were enrolled for MBA entrance exam and the
candidates (out of those enrolled) who passed the exam in different institutes:
What percentage of candidates passed the
Exam from institute T out of the total number
of candidates enrolled from the same
institute?
A)50% B)62.5% C)75% D)80%
Required percentage =
Which institute has the highest
percentage of candidates passed to the
candidates enrolled?
A) Q B) R C) V D) T
• The number of candidates passed
from institutes S and P together
exceeds the number of candidates
enrolled from institutes T and R
together by:
• A)228 B)279 C)399 D)407
Required difference = [(16% + 18%) of 5700] - [(8% + 10%) of 8550]
= [(34% of 5700) - (18% of 8550)]
= (1938 - 1539)
= 399.
Bar Chart - Introduction
Data interpretation
Data interpretation
Data interpretation
Data interpretation
Data interpretation
Data interpretation
Data interpretation
Data interpretation
Data interpretation
Data interpretation
Data interpretation
Data interpretation
Data interpretation
Data interpretation
Data interpretation
Data interpretation
Data interpretation
Data interpretation

More Related Content

Similar to Data interpretation

Placement Presentation
Placement PresentationPlacement Presentation
Placement Presentation
shaikhambu
 
NAAC Assessment && Accreditation - Introduction
NAAC Assessment && Accreditation - IntroductionNAAC Assessment && Accreditation - Introduction
NAAC Assessment && Accreditation - Introduction
LEAP - Learn, Enrich Accentuate & Perform
 
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdf
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdfUGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdf
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdf
Nirmal Dwivedi
 
TCS - Data Interpretation for thrrvhi.pptx
TCS - Data Interpretation for thrrvhi.pptxTCS - Data Interpretation for thrrvhi.pptx
TCS - Data Interpretation for thrrvhi.pptx
sateeshreddychagam08
 
ME66102S2381Scorecard
ME66102S2381ScorecardME66102S2381Scorecard
ME66102S2381Scorecardashutoshsk
 

Similar to Data interpretation (8)

Placement Presentation
Placement PresentationPlacement Presentation
Placement Presentation
 
NAAC Assessment && Accreditation - Introduction
NAAC Assessment && Accreditation - IntroductionNAAC Assessment && Accreditation - Introduction
NAAC Assessment && Accreditation - Introduction
 
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdf
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdfUGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdf
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdf
 
GATE Score Card
GATE Score CardGATE Score Card
GATE Score Card
 
TCS - Data Interpretation for thrrvhi.pptx
TCS - Data Interpretation for thrrvhi.pptxTCS - Data Interpretation for thrrvhi.pptx
TCS - Data Interpretation for thrrvhi.pptx
 
ME66102S2381Scorecard
ME66102S2381ScorecardME66102S2381Scorecard
ME66102S2381Scorecard
 
SCORE CARD - IIT KANPUR
SCORE CARD - IIT KANPURSCORE CARD - IIT KANPUR
SCORE CARD - IIT KANPUR
 
CS55031S7029Scorecard
CS55031S7029ScorecardCS55031S7029Scorecard
CS55031S7029Scorecard
 

More from Veeraragavan Subramaniam

Time and work standard level
Time and work standard levelTime and work standard level
Time and work standard level
Veeraragavan Subramaniam
 
Problems on ages
Problems on agesProblems on ages
Problems on ages
Veeraragavan Subramaniam
 
Percentage standard level
Percentage standard levelPercentage standard level
Percentage standard level
Veeraragavan Subramaniam
 
Partnership standard level
Partnership standard levelPartnership standard level
Partnership standard level
Veeraragavan Subramaniam
 
Average standard level
Average standard levelAverage standard level
Average standard level
Veeraragavan Subramaniam
 
Profit and loss standard level
Profit and loss standard levelProfit and loss standard level
Profit and loss standard level
Veeraragavan Subramaniam
 
Numbers standard level
Numbers standard levelNumbers standard level
Numbers standard level
Veeraragavan Subramaniam
 
Cts 2017
Cts 2017Cts 2017
Averages and alligations level 2
Averages and alligations level 2Averages and alligations level 2
Averages and alligations level 2
Veeraragavan Subramaniam
 
Logarithms level 2
Logarithms level 2Logarithms level 2
Logarithms level 2
Veeraragavan Subramaniam
 
Progressions level 2
Progressions level 2Progressions level 2
Progressions level 2
Veeraragavan Subramaniam
 
Mouse multiple probability
Mouse multiple probabilityMouse multiple probability
Mouse multiple probability
Veeraragavan Subramaniam
 
Permutation level two
Permutation level twoPermutation level two
Permutation level two
Veeraragavan Subramaniam
 
Number systems level 2 special equations 4
Number systems level  2 special equations 4Number systems level  2 special equations 4
Number systems level 2 special equations 4Veeraragavan Subramaniam
 
Percentage and profit loss new version 4
Percentage and profit loss new version 4Percentage and profit loss new version 4
Percentage and profit loss new version 4
Veeraragavan Subramaniam
 
Srinivasaramanujan a reminiscence 3
Srinivasaramanujan a reminiscence 3Srinivasaramanujan a reminiscence 3
Srinivasaramanujan a reminiscence 3
Veeraragavan Subramaniam
 

More from Veeraragavan Subramaniam (20)

Time and work standard level
Time and work standard levelTime and work standard level
Time and work standard level
 
Problems on ages
Problems on agesProblems on ages
Problems on ages
 
Percentage standard level
Percentage standard levelPercentage standard level
Percentage standard level
 
Partnership standard level
Partnership standard levelPartnership standard level
Partnership standard level
 
Average standard level
Average standard levelAverage standard level
Average standard level
 
Profit and loss standard level
Profit and loss standard levelProfit and loss standard level
Profit and loss standard level
 
Numbers standard level
Numbers standard levelNumbers standard level
Numbers standard level
 
Cts 2017
Cts 2017Cts 2017
Cts 2017
 
Averages and alligations level 2
Averages and alligations level 2Averages and alligations level 2
Averages and alligations level 2
 
Logarithms level 2
Logarithms level 2Logarithms level 2
Logarithms level 2
 
Progressions level 2
Progressions level 2Progressions level 2
Progressions level 2
 
Mouse multiple probability
Mouse multiple probabilityMouse multiple probability
Mouse multiple probability
 
Permutation level two
Permutation level twoPermutation level two
Permutation level two
 
Syllogism level 2 new
Syllogism level 2 newSyllogism level 2 new
Syllogism level 2 new
 
Number systems level 2 special equations 4
Number systems level  2 special equations 4Number systems level  2 special equations 4
Number systems level 2 special equations 4
 
Number system 1surds & indices
Number system 1surds & indicesNumber system 1surds & indices
Number system 1surds & indices
 
Simple equations level 2
Simple equations level 2Simple equations level 2
Simple equations level 2
 
Statistics – level 2
Statistics – level 2Statistics – level 2
Statistics – level 2
 
Percentage and profit loss new version 4
Percentage and profit loss new version 4Percentage and profit loss new version 4
Percentage and profit loss new version 4
 
Srinivasaramanujan a reminiscence 3
Srinivasaramanujan a reminiscence 3Srinivasaramanujan a reminiscence 3
Srinivasaramanujan a reminiscence 3
 

Recently uploaded

BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
Nguyen Thanh Tu Collection
 
A Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in EducationA Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in Education
Peter Windle
 
Aficamten in HCM (SEQUOIA HCM TRIAL 2024)
Aficamten in HCM (SEQUOIA HCM TRIAL 2024)Aficamten in HCM (SEQUOIA HCM TRIAL 2024)
Aficamten in HCM (SEQUOIA HCM TRIAL 2024)
Ashish Kohli
 
A Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptxA Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptx
thanhdowork
 
Acetabularia Information For Class 9 .docx
Acetabularia Information For Class 9  .docxAcetabularia Information For Class 9  .docx
Acetabularia Information For Class 9 .docx
vaibhavrinwa19
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Thiyagu K
 
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
EugeneSaldivar
 
Unit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdfUnit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdf
Thiyagu K
 
Group Presentation 2 Economics.Ariana Buscigliopptx
Group Presentation 2 Economics.Ariana BuscigliopptxGroup Presentation 2 Economics.Ariana Buscigliopptx
Group Presentation 2 Economics.Ariana Buscigliopptx
ArianaBusciglio
 
Advantages and Disadvantages of CMS from an SEO Perspective
Advantages and Disadvantages of CMS from an SEO PerspectiveAdvantages and Disadvantages of CMS from an SEO Perspective
Advantages and Disadvantages of CMS from an SEO Perspective
Krisztián Száraz
 
The basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptxThe basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptx
heathfieldcps1
 
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Dr. Vinod Kumar Kanvaria
 
Introduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp NetworkIntroduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp Network
TechSoup
 
South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)
Academy of Science of South Africa
 
CACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdfCACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdf
camakaiclarkmusic
 
Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.
Ashokrao Mane college of Pharmacy Peth-Vadgaon
 
How to Build a Module in Odoo 17 Using the Scaffold Method
How to Build a Module in Odoo 17 Using the Scaffold MethodHow to Build a Module in Odoo 17 Using the Scaffold Method
How to Build a Module in Odoo 17 Using the Scaffold Method
Celine George
 
S1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptxS1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptx
tarandeep35
 
Assignment_4_ArianaBusciglio Marvel(1).docx
Assignment_4_ArianaBusciglio Marvel(1).docxAssignment_4_ArianaBusciglio Marvel(1).docx
Assignment_4_ArianaBusciglio Marvel(1).docx
ArianaBusciglio
 
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdfANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
Priyankaranawat4
 

Recently uploaded (20)

BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
 
A Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in EducationA Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in Education
 
Aficamten in HCM (SEQUOIA HCM TRIAL 2024)
Aficamten in HCM (SEQUOIA HCM TRIAL 2024)Aficamten in HCM (SEQUOIA HCM TRIAL 2024)
Aficamten in HCM (SEQUOIA HCM TRIAL 2024)
 
A Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptxA Survey of Techniques for Maximizing LLM Performance.pptx
A Survey of Techniques for Maximizing LLM Performance.pptx
 
Acetabularia Information For Class 9 .docx
Acetabularia Information For Class 9  .docxAcetabularia Information For Class 9  .docx
Acetabularia Information For Class 9 .docx
 
Unit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdfUnit 2- Research Aptitude (UGC NET Paper I).pdf
Unit 2- Research Aptitude (UGC NET Paper I).pdf
 
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...TESDA TM1 REVIEWER  FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
 
Unit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdfUnit 8 - Information and Communication Technology (Paper I).pdf
Unit 8 - Information and Communication Technology (Paper I).pdf
 
Group Presentation 2 Economics.Ariana Buscigliopptx
Group Presentation 2 Economics.Ariana BuscigliopptxGroup Presentation 2 Economics.Ariana Buscigliopptx
Group Presentation 2 Economics.Ariana Buscigliopptx
 
Advantages and Disadvantages of CMS from an SEO Perspective
Advantages and Disadvantages of CMS from an SEO PerspectiveAdvantages and Disadvantages of CMS from an SEO Perspective
Advantages and Disadvantages of CMS from an SEO Perspective
 
The basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptxThe basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptx
 
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
 
Introduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp NetworkIntroduction to AI for Nonprofits with Tapp Network
Introduction to AI for Nonprofits with Tapp Network
 
South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)
 
CACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdfCACJapan - GROUP Presentation 1- Wk 4.pdf
CACJapan - GROUP Presentation 1- Wk 4.pdf
 
Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.
 
How to Build a Module in Odoo 17 Using the Scaffold Method
How to Build a Module in Odoo 17 Using the Scaffold MethodHow to Build a Module in Odoo 17 Using the Scaffold Method
How to Build a Module in Odoo 17 Using the Scaffold Method
 
S1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptxS1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptx
 
Assignment_4_ArianaBusciglio Marvel(1).docx
Assignment_4_ArianaBusciglio Marvel(1).docxAssignment_4_ArianaBusciglio Marvel(1).docx
Assignment_4_ArianaBusciglio Marvel(1).docx
 
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdfANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
 

Data interpretation

  • 2.
  • 3.
  • 4.
  • 5. Distribution of candidates who were enrolled for MBA entrance exam and the candidates (out of those enrolled) who passed the exam in different institutes: What percentage of candidates passed the Exam from institute T out of the total number of candidates enrolled from the same institute? A)50% B)62.5% C)75% D)80% Required percentage =
  • 6. Which institute has the highest percentage of candidates passed to the candidates enrolled? A) Q B) R C) V D) T
  • 7. • The number of candidates passed from institutes S and P together exceeds the number of candidates enrolled from institutes T and R together by: • A)228 B)279 C)399 D)407 Required difference = [(16% + 18%) of 5700] - [(8% + 10%) of 8550] = [(34% of 5700) - (18% of 8550)] = (1938 - 1539) = 399.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28. Bar Chart - Introduction