SlideShare a Scribd company logo
DISCOVER . LEARN . EMPOWER
1
UNIT-1
INSTITUTE –University School of Business
DEPARTMENT -Management
M.B.A
SUBJECT NAME: Decision Science
SUBJECT CODE: 23BAT605
DIKSHA GANDHI
ASSISTANT PROFFESOR
Basics of Statistics
2
3
⚫Definition (Descriptive statistics)
⚫The part of statistics concerned with the description and summarization of data is
called descriptive statistics
⚫For example:
Tables or graphs are used to organize data, and descriptive values such as the
average score are used to summarize data.
⚫A descriptive value for a population is called a parameter and a descriptive value
for a sample is called a statistic.
Inferential Statistics
4
• Definition (inferential statistics)
• The part of statistics concerned with the drawing of conclusions from data is called inferential
statistics
• When the experiment is completed and the data are described and summarized, we hope to be
able to draw a conclusion about the efficacy of the drug.
Application Areas of Statistics
5
⚫ In the early 20th century, two of the most important areas of applied statistics were population biology and
agriculture .
⚫ Nowadays the ideas of statistics are everywhere.
⚫ Descriptive statistics are featured in every newspaper and magazine.
⚫ Statistical inference has become indispensable.
⚫ to public health and medical research,
⚫ to marketing and quality control
⚫ to education,
⚫ to accounting
⚫ to economics
⚫ to meteorological forecasting
⚫ to polling and surveys
⚫ to sports,
⚫ to insurance
⚫ to gambling and
⚫ to all research that makes any claim to being scientific.
6
7
Scope and importance of Statistics
⚫Statistics and planning: Statistics in indispensable into planning in the
modern age which is termed as “the age of planning”. Almost all over the
world the govt. are re-storing to planning for economic development.
Statistics and economics: Statistical data and techniques of statistical
analysis have to immensely useful involving economical problem. Such as
wages, price, time series analysis, demand analysis.
8
Statistics and business: Statistics is an irresponsible tool of production
control. Business executive are relying more and more on statistical
techniques for studying the much and desire of the valued customers.
Statistics and industry: In industry statistics is widely used inequality
control. In production engineering to find out whether the product is
confirming to the specifications or not. Statistical tools, such as
Inspection plan, control chart etc.
9
Statistics and mathematics: Statistics are intimately related recent
advancements in statistical technique are the outcome of wide
applications of mathematics.
Statistics and modern science: In medical science the statistical tools for
collection, presentation and analysis of observed facts relating to causes
and incidence of disease and the result of application various drugs and
medicine are of great importance.
10
Statistics, psychology and education: In education and physiology
statistics has found wide application such as, determining or to
determine the reliability and validity to a test, factor analysis etc.
Statistics and war: In war the theory of decision function can be a great
assistance to the military and personal to plan “maximum destruction
with minimum effort.”
11
Statistics in business and management
1 Marketing: Statistical analysis are frequently used in providing information for making decision in
the field of marketing it is necessary first to find out what can be sold and then to evolve suitable
strategy, so that the goods which to the ultimate consumer. A skill full analysis of data on production
purchasing power, man power, habits of competitors, habits of consumer, transportation cost should
be consider to take any attempt to establish a new market.
2.Production: In the field of production statistical data and method play a very important role. The
decision about what to produce? How to produce? When to produce? For whom to produce is based
largely on statistical analysis.
3. Finance: The financial organization discharging their finance function effectively depend very
heavily on statistical analysis of peat and tigers.
12
Statistics in business and management
3.Banking: Banking institute have found if increasingly to establish research department within
their organization for the purpose of gathering and analysis information, not only regarding
their own business but also regarding general economic situation and every segment of
business in which they may have interest.
4.Investment: Statistics greatly assists investors in making clear and valued judgment in his
investment decision in selecting securities which are safe and have the best prospects of
yielding a good income.
5.Purchase: the purchase department in discharging their function makes use of statistical data
to frame suitable purchase policies such as what to buy? What quantity to buy? What time to
buy? Where to buy? Whom to buy?
13
6. Accounting: statistical data are also employer in accounting particularly in auditing function, the
technique of sampling and destination is frequently used.
7.Control: the management control process combines statistical and accounting method in making the
overall budget for the coming year including sales, materials, labor and other costs and net profits and
capital requirement.
14
Limitations of Statistics
• Statistics laws are true on average. Statistics are aggregates of facts. So single observation
is not a statistics, it deals with groups and aggregates only.
• Statistical methods are best applicable on quantitative data.
• Statistics cannot be applied to heterogeneous data.
• It sufficient care is not exercised in collecting, analyzing and interpretation the data,
statistical results might be misleading.
• Only a person who has an expert knowledge of statistics can handle statistical data
efficiently.
• Some errors are possible in statistical decisions. Particularly the inferential statistics
involves certain errors. We do not know whether an error has been committed or not.
References
TEXT BOOKS/REFERENCE BOOKS
TEXTBOOKS
T1 Statistics for Management by G.C. Beri. Tata McGraw Hills Publishing Company Ltd., New Delhi
T2 Croucher, J. 2017. Statistics: Making Business Decisions, 13thEdition, Tata McGraw Hill, ISBN: 9780074710419.
T3 Levine, D., Sazbat, K. and Stephan, D. 2013. Business Statistics, 7thEdition, Pearson Education, India, ISBN: 9780132807265
REFERENCE BOOKS
R1 Business Statistics by Amir D. Aczel and J. Sounderpandian. Tata McGraw Hill Publishing Company Ltd., New Delhi.
R2 Gupta, C. and Gupta, V. 2004. An Introduction to Statistical Methods, 23rdEdition, Vikas Publications, India, ISBN: 9788125916543
R3 Statistics for Management by Richard I. Levin and David S. Rubin. Prentice Hall of India Pvt. Ltd., New Delhi
ASSESSMENT PATTERN
For queries get in touch with me at: diksha.e13542@cumail.in
Ad

More Related Content

Similar to BASIS OF STATISTICS.pptx (20)

What is the importance of statistics.pdf
What is the importance of statistics.pdfWhat is the importance of statistics.pdf
What is the importance of statistics.pdf
Assignment Help
 
Lecture 1 PPT.pdf
Lecture 1 PPT.pdfLecture 1 PPT.pdf
Lecture 1 PPT.pdf
RAJKAMAL282
 
Business Statistics PPT - Updated (22.08.2024).pdf
Business Statistics PPT - Updated (22.08.2024).pdfBusiness Statistics PPT - Updated (22.08.2024).pdf
Business Statistics PPT - Updated (22.08.2024).pdf
DrSJayashree
 
What Is Statistics
What Is StatisticsWhat Is Statistics
What Is Statistics
Akila Jayarathna
 
Statistical Data Analysis | Data Analysis | Statistics Services | Data Collec...
Statistical Data Analysis | Data Analysis | Statistics Services | Data Collec...Statistical Data Analysis | Data Analysis | Statistics Services | Data Collec...
Statistical Data Analysis | Data Analysis | Statistics Services | Data Collec...
Stats Statswork
 
1.Introduction to Statistics - its types
1.Introduction to Statistics - its types1.Introduction to Statistics - its types
1.Introduction to Statistics - its types
bharath321164
 
Business statistics and analytics
Business statistics and analyticsBusiness statistics and analytics
Business statistics and analytics
Vijay K S
 
Application of data science on public policy.pptx
Application of data science on public policy.pptxApplication of data science on public policy.pptx
Application of data science on public policy.pptx
LyndaThankamVarghese
 
Statistics / Quantitative Techniques Study Material
Statistics / Quantitative Techniques Study MaterialStatistics / Quantitative Techniques Study Material
Statistics / Quantitative Techniques Study Material
Prabal Chakraborty
 
Stats notes
Stats notesStats notes
Stats notes
Prabal Chakraborty
 
Statistics assignment
Statistics assignmentStatistics assignment
Statistics assignment
Pragati Mehndiratta
 
Why quantitative techniques
Why quantitative techniquesWhy quantitative techniques
Why quantitative techniques
shahisec1
 
Statistics
StatisticsStatistics
Statistics
VjvaniShree
 
Statistical analysis and Statistical process in 2023 .pptx
Statistical analysis and Statistical process in 2023 .pptxStatistical analysis and Statistical process in 2023 .pptx
Statistical analysis and Statistical process in 2023 .pptx
Fayaz Ahmad
 
1.pdf
1.pdf1.pdf
1.pdf
Department of Economics, Entrepreneurship and Business Administration, SumDU
 
S4 pn
S4 pnS4 pn
S4 pn
International advisers
 
O1
O1O1
O1
natasharoyy
 
Introduction statistical techinique in business and eonomics by douglas a lind
Introduction statistical techinique in business and eonomics by douglas a lindIntroduction statistical techinique in business and eonomics by douglas a lind
Introduction statistical techinique in business and eonomics by douglas a lind
Rubel Islam
 
Statistics Assignments 090427
Statistics Assignments 090427Statistics Assignments 090427
Statistics Assignments 090427
amykua
 
Statistics for Management.pptx
Statistics for Management.pptxStatistics for Management.pptx
Statistics for Management.pptx
SharadhaVijayakrishn
 
What is the importance of statistics.pdf
What is the importance of statistics.pdfWhat is the importance of statistics.pdf
What is the importance of statistics.pdf
Assignment Help
 
Lecture 1 PPT.pdf
Lecture 1 PPT.pdfLecture 1 PPT.pdf
Lecture 1 PPT.pdf
RAJKAMAL282
 
Business Statistics PPT - Updated (22.08.2024).pdf
Business Statistics PPT - Updated (22.08.2024).pdfBusiness Statistics PPT - Updated (22.08.2024).pdf
Business Statistics PPT - Updated (22.08.2024).pdf
DrSJayashree
 
Statistical Data Analysis | Data Analysis | Statistics Services | Data Collec...
Statistical Data Analysis | Data Analysis | Statistics Services | Data Collec...Statistical Data Analysis | Data Analysis | Statistics Services | Data Collec...
Statistical Data Analysis | Data Analysis | Statistics Services | Data Collec...
Stats Statswork
 
1.Introduction to Statistics - its types
1.Introduction to Statistics - its types1.Introduction to Statistics - its types
1.Introduction to Statistics - its types
bharath321164
 
Business statistics and analytics
Business statistics and analyticsBusiness statistics and analytics
Business statistics and analytics
Vijay K S
 
Application of data science on public policy.pptx
Application of data science on public policy.pptxApplication of data science on public policy.pptx
Application of data science on public policy.pptx
LyndaThankamVarghese
 
Statistics / Quantitative Techniques Study Material
Statistics / Quantitative Techniques Study MaterialStatistics / Quantitative Techniques Study Material
Statistics / Quantitative Techniques Study Material
Prabal Chakraborty
 
Why quantitative techniques
Why quantitative techniquesWhy quantitative techniques
Why quantitative techniques
shahisec1
 
Statistical analysis and Statistical process in 2023 .pptx
Statistical analysis and Statistical process in 2023 .pptxStatistical analysis and Statistical process in 2023 .pptx
Statistical analysis and Statistical process in 2023 .pptx
Fayaz Ahmad
 
Introduction statistical techinique in business and eonomics by douglas a lind
Introduction statistical techinique in business and eonomics by douglas a lindIntroduction statistical techinique in business and eonomics by douglas a lind
Introduction statistical techinique in business and eonomics by douglas a lind
Rubel Islam
 
Statistics Assignments 090427
Statistics Assignments 090427Statistics Assignments 090427
Statistics Assignments 090427
amykua
 

More from DikshaGandhi20 (14)

Swiggy CRM for Business Growth & Customer Satisfaction.pptx
Swiggy CRM for Business Growth & Customer Satisfaction.pptxSwiggy CRM for Business Growth & Customer Satisfaction.pptx
Swiggy CRM for Business Growth & Customer Satisfaction.pptx
DikshaGandhi20
 
genine9cellmatrix-220308042nbcdshcbdshbvdshbvhdsbvhvbhdsv943.ppt
genine9cellmatrix-220308042nbcdshcbdshbvdshbvhdsbvhvbhdsv943.pptgenine9cellmatrix-220308042nbcdshcbdshbvdshbvhdsbvhvbhdsv943.ppt
genine9cellmatrix-220308042nbcdshcbdshbvdshbvhdsbvhvbhdsv943.ppt
DikshaGandhi20
 
DATA COLLECTION.pptx DATA COLLECTION.pptxDATA COLLECTION.pptxDATA COLLECTION....
DATA COLLECTION.pptx DATA COLLECTION.pptxDATA COLLECTION.pptxDATA COLLECTION....DATA COLLECTION.pptx DATA COLLECTION.pptxDATA COLLECTION.pptxDATA COLLECTION....
DATA COLLECTION.pptx DATA COLLECTION.pptxDATA COLLECTION.pptxDATA COLLECTION....
DikshaGandhi20
 
water waste management presentation water waste management presentation water...
water waste management presentation water waste management presentation water...water waste management presentation water waste management presentation water...
water waste management presentation water waste management presentation water...
DikshaGandhi20
 
IMC 1.pptx- Marketing integrated communication
IMC 1.pptx- Marketing integrated communicationIMC 1.pptx- Marketing integrated communication
IMC 1.pptx- Marketing integrated communication
DikshaGandhi20
 
Lecture-5 Control Charts-1.pptx
Lecture-5 Control Charts-1.pptxLecture-5 Control Charts-1.pptx
Lecture-5 Control Charts-1.pptx
DikshaGandhi20
 
Lecture 10.pptx
Lecture 10.pptxLecture 10.pptx
Lecture 10.pptx
DikshaGandhi20
 
Govt & Business Relationship.ppt
Govt & Business Relationship.pptGovt & Business Relationship.ppt
Govt & Business Relationship.ppt
DikshaGandhi20
 
gartnercompetencycrmmodel-170522064837.pptx
gartnercompetencycrmmodel-170522064837.pptxgartnercompetencycrmmodel-170522064837.pptx
gartnercompetencycrmmodel-170522064837.pptx
DikshaGandhi20
 
C.pptx
C.pptxC.pptx
C.pptx
DikshaGandhi20
 
Lecture Topic 1.2.4.pptx
Lecture Topic 1.2.4.pptxLecture Topic 1.2.4.pptx
Lecture Topic 1.2.4.pptx
DikshaGandhi20
 
CRM Strategy.pptx
CRM Strategy.pptxCRM Strategy.pptx
CRM Strategy.pptx
DikshaGandhi20
 
CRM PPT.pptx
CRM PPT.pptxCRM PPT.pptx
CRM PPT.pptx
DikshaGandhi20
 
Syllabus- Decision Science.docx
Syllabus- Decision Science.docxSyllabus- Decision Science.docx
Syllabus- Decision Science.docx
DikshaGandhi20
 
Swiggy CRM for Business Growth & Customer Satisfaction.pptx
Swiggy CRM for Business Growth & Customer Satisfaction.pptxSwiggy CRM for Business Growth & Customer Satisfaction.pptx
Swiggy CRM for Business Growth & Customer Satisfaction.pptx
DikshaGandhi20
 
genine9cellmatrix-220308042nbcdshcbdshbvdshbvhdsbvhvbhdsv943.ppt
genine9cellmatrix-220308042nbcdshcbdshbvdshbvhdsbvhvbhdsv943.pptgenine9cellmatrix-220308042nbcdshcbdshbvdshbvhdsbvhvbhdsv943.ppt
genine9cellmatrix-220308042nbcdshcbdshbvdshbvhdsbvhvbhdsv943.ppt
DikshaGandhi20
 
DATA COLLECTION.pptx DATA COLLECTION.pptxDATA COLLECTION.pptxDATA COLLECTION....
DATA COLLECTION.pptx DATA COLLECTION.pptxDATA COLLECTION.pptxDATA COLLECTION....DATA COLLECTION.pptx DATA COLLECTION.pptxDATA COLLECTION.pptxDATA COLLECTION....
DATA COLLECTION.pptx DATA COLLECTION.pptxDATA COLLECTION.pptxDATA COLLECTION....
DikshaGandhi20
 
water waste management presentation water waste management presentation water...
water waste management presentation water waste management presentation water...water waste management presentation water waste management presentation water...
water waste management presentation water waste management presentation water...
DikshaGandhi20
 
IMC 1.pptx- Marketing integrated communication
IMC 1.pptx- Marketing integrated communicationIMC 1.pptx- Marketing integrated communication
IMC 1.pptx- Marketing integrated communication
DikshaGandhi20
 
Lecture-5 Control Charts-1.pptx
Lecture-5 Control Charts-1.pptxLecture-5 Control Charts-1.pptx
Lecture-5 Control Charts-1.pptx
DikshaGandhi20
 
Govt & Business Relationship.ppt
Govt & Business Relationship.pptGovt & Business Relationship.ppt
Govt & Business Relationship.ppt
DikshaGandhi20
 
gartnercompetencycrmmodel-170522064837.pptx
gartnercompetencycrmmodel-170522064837.pptxgartnercompetencycrmmodel-170522064837.pptx
gartnercompetencycrmmodel-170522064837.pptx
DikshaGandhi20
 
Lecture Topic 1.2.4.pptx
Lecture Topic 1.2.4.pptxLecture Topic 1.2.4.pptx
Lecture Topic 1.2.4.pptx
DikshaGandhi20
 
Syllabus- Decision Science.docx
Syllabus- Decision Science.docxSyllabus- Decision Science.docx
Syllabus- Decision Science.docx
DikshaGandhi20
 
Ad

Recently uploaded (20)

Introduction to MEDDPICC eLearning PDF.pdf
Introduction to MEDDPICC eLearning PDF.pdfIntroduction to MEDDPICC eLearning PDF.pdf
Introduction to MEDDPICC eLearning PDF.pdf
shonkoop
 
Best Places Buy Verified Cash App Accounts- Reviewed (pdf).pdf
Best Places Buy Verified Cash App Accounts- Reviewed (pdf).pdfBest Places Buy Verified Cash App Accounts- Reviewed (pdf).pdf
Best Places Buy Verified Cash App Accounts- Reviewed (pdf).pdf
Cashapp Profile
 
2025 May - Prospect & Qualify Leads for B2B in Hubspot - Demand Gen HUG.pptx
2025 May - Prospect & Qualify Leads for B2B in Hubspot - Demand Gen HUG.pptx2025 May - Prospect & Qualify Leads for B2B in Hubspot - Demand Gen HUG.pptx
2025 May - Prospect & Qualify Leads for B2B in Hubspot - Demand Gen HUG.pptx
mjenkins13
 
TNR Gold Investor Summary - Building The Green Energy Metals Royalty and Gold...
TNR Gold Investor Summary - Building The Green Energy Metals Royalty and Gold...TNR Gold Investor Summary - Building The Green Energy Metals Royalty and Gold...
TNR Gold Investor Summary - Building The Green Energy Metals Royalty and Gold...
Kirill Klip
 
Cloud Stream Part II Mobile Hub V2 Cloud Confluency.pdf
Cloud Stream Part II Mobile Hub V2 Cloud Confluency.pdfCloud Stream Part II Mobile Hub V2 Cloud Confluency.pdf
Cloud Stream Part II Mobile Hub V2 Cloud Confluency.pdf
Brij Consulting, LLC
 
Bloomberg Asia's Power Players in Healthcare - The Visionaries Transforming a...
Bloomberg Asia's Power Players in Healthcare - The Visionaries Transforming a...Bloomberg Asia's Power Players in Healthcare - The Visionaries Transforming a...
Bloomberg Asia's Power Players in Healthcare - The Visionaries Transforming a...
Ignite Capital
 
72% of Healthcare Organizations Are Expanding Telehealth In 2025—Is Your Bill...
72% of Healthcare Organizations Are Expanding Telehealth In 2025—Is Your Bill...72% of Healthcare Organizations Are Expanding Telehealth In 2025—Is Your Bill...
72% of Healthcare Organizations Are Expanding Telehealth In 2025—Is Your Bill...
alicecarlos1
 
Allan Kinsella: A Life of Accomplishment, Service, Resiliency.
Allan Kinsella: A Life of Accomplishment, Service, Resiliency.Allan Kinsella: A Life of Accomplishment, Service, Resiliency.
Allan Kinsella: A Life of Accomplishment, Service, Resiliency.
Allan Kinsella
 
Banking Doesn't Have to Be Boring: Jupiter's Gamification Playbook
Banking Doesn't Have to Be Boring: Jupiter's Gamification PlaybookBanking Doesn't Have to Be Boring: Jupiter's Gamification Playbook
Banking Doesn't Have to Be Boring: Jupiter's Gamification Playbook
xnayankumar
 
China Visa Update: New Interview Rule at Delhi Embassy | BTW Visa Services
China Visa Update: New Interview Rule at Delhi Embassy | BTW Visa ServicesChina Visa Update: New Interview Rule at Delhi Embassy | BTW Visa Services
China Visa Update: New Interview Rule at Delhi Embassy | BTW Visa Services
siddheshwaryadav696
 
Solving Disintermediation in Ride-Hailing
Solving Disintermediation in Ride-HailingSolving Disintermediation in Ride-Hailing
Solving Disintermediation in Ride-Hailing
xnayankumar
 
ElizabethMarinoWeek4FinalPresentation.pptx
ElizabethMarinoWeek4FinalPresentation.pptxElizabethMarinoWeek4FinalPresentation.pptx
ElizabethMarinoWeek4FinalPresentation.pptx
LizMarino6
 
Best Ever Guide To Purchased Verified Wise Accounts ( Personal & Business ).pdf
Best Ever Guide To Purchased Verified Wise Accounts ( Personal & Business ).pdfBest Ever Guide To Purchased Verified Wise Accounts ( Personal & Business ).pdf
Best Ever Guide To Purchased Verified Wise Accounts ( Personal & Business ).pdf
Topvasmm
 
The Importance of Influencer Relations in BPO.pptx
The Importance of Influencer Relations in BPO.pptxThe Importance of Influencer Relations in BPO.pptx
The Importance of Influencer Relations in BPO.pptx
Duncan Chapple
 
Triwaves India Limited II Bansun Club II Vijay k Sunder
Triwaves India Limited II Bansun Club II Vijay k SunderTriwaves India Limited II Bansun Club II Vijay k Sunder
Triwaves India Limited II Bansun Club II Vijay k Sunder
Uddham Chand
 
Mastering Fact-Oriented Modeling with Natural Language: The Future of Busines...
Mastering Fact-Oriented Modeling with Natural Language: The Future of Busines...Mastering Fact-Oriented Modeling with Natural Language: The Future of Busines...
Mastering Fact-Oriented Modeling with Natural Language: The Future of Busines...
Marco Wobben
 
Best Ever Platform To Buy Verified Wise Accounts In 2025.pdf
Best Ever Platform To Buy Verified Wise Accounts In 2025.pdfBest Ever Platform To Buy Verified Wise Accounts In 2025.pdf
Best Ever Platform To Buy Verified Wise Accounts In 2025.pdf
Topvasmm
 
EquariusAI analytics for business water risk
EquariusAI analytics for business water riskEquariusAI analytics for business water risk
EquariusAI analytics for business water risk
Peter Adriaens
 
Luxury Real Estate Dubai: A Comprehensive Guide to Opulent Living
Luxury Real Estate Dubai: A Comprehensive Guide to Opulent LivingLuxury Real Estate Dubai: A Comprehensive Guide to Opulent Living
Luxury Real Estate Dubai: A Comprehensive Guide to Opulent Living
Dimitri Sementes
 
Mr. Kalifornia Portfolio Group Project Full Sail University
Mr. Kalifornia Portfolio Group Project Full Sail UniversityMr. Kalifornia Portfolio Group Project Full Sail University
Mr. Kalifornia Portfolio Group Project Full Sail University
bmdecker1
 
Introduction to MEDDPICC eLearning PDF.pdf
Introduction to MEDDPICC eLearning PDF.pdfIntroduction to MEDDPICC eLearning PDF.pdf
Introduction to MEDDPICC eLearning PDF.pdf
shonkoop
 
Best Places Buy Verified Cash App Accounts- Reviewed (pdf).pdf
Best Places Buy Verified Cash App Accounts- Reviewed (pdf).pdfBest Places Buy Verified Cash App Accounts- Reviewed (pdf).pdf
Best Places Buy Verified Cash App Accounts- Reviewed (pdf).pdf
Cashapp Profile
 
2025 May - Prospect & Qualify Leads for B2B in Hubspot - Demand Gen HUG.pptx
2025 May - Prospect & Qualify Leads for B2B in Hubspot - Demand Gen HUG.pptx2025 May - Prospect & Qualify Leads for B2B in Hubspot - Demand Gen HUG.pptx
2025 May - Prospect & Qualify Leads for B2B in Hubspot - Demand Gen HUG.pptx
mjenkins13
 
TNR Gold Investor Summary - Building The Green Energy Metals Royalty and Gold...
TNR Gold Investor Summary - Building The Green Energy Metals Royalty and Gold...TNR Gold Investor Summary - Building The Green Energy Metals Royalty and Gold...
TNR Gold Investor Summary - Building The Green Energy Metals Royalty and Gold...
Kirill Klip
 
Cloud Stream Part II Mobile Hub V2 Cloud Confluency.pdf
Cloud Stream Part II Mobile Hub V2 Cloud Confluency.pdfCloud Stream Part II Mobile Hub V2 Cloud Confluency.pdf
Cloud Stream Part II Mobile Hub V2 Cloud Confluency.pdf
Brij Consulting, LLC
 
Bloomberg Asia's Power Players in Healthcare - The Visionaries Transforming a...
Bloomberg Asia's Power Players in Healthcare - The Visionaries Transforming a...Bloomberg Asia's Power Players in Healthcare - The Visionaries Transforming a...
Bloomberg Asia's Power Players in Healthcare - The Visionaries Transforming a...
Ignite Capital
 
72% of Healthcare Organizations Are Expanding Telehealth In 2025—Is Your Bill...
72% of Healthcare Organizations Are Expanding Telehealth In 2025—Is Your Bill...72% of Healthcare Organizations Are Expanding Telehealth In 2025—Is Your Bill...
72% of Healthcare Organizations Are Expanding Telehealth In 2025—Is Your Bill...
alicecarlos1
 
Allan Kinsella: A Life of Accomplishment, Service, Resiliency.
Allan Kinsella: A Life of Accomplishment, Service, Resiliency.Allan Kinsella: A Life of Accomplishment, Service, Resiliency.
Allan Kinsella: A Life of Accomplishment, Service, Resiliency.
Allan Kinsella
 
Banking Doesn't Have to Be Boring: Jupiter's Gamification Playbook
Banking Doesn't Have to Be Boring: Jupiter's Gamification PlaybookBanking Doesn't Have to Be Boring: Jupiter's Gamification Playbook
Banking Doesn't Have to Be Boring: Jupiter's Gamification Playbook
xnayankumar
 
China Visa Update: New Interview Rule at Delhi Embassy | BTW Visa Services
China Visa Update: New Interview Rule at Delhi Embassy | BTW Visa ServicesChina Visa Update: New Interview Rule at Delhi Embassy | BTW Visa Services
China Visa Update: New Interview Rule at Delhi Embassy | BTW Visa Services
siddheshwaryadav696
 
Solving Disintermediation in Ride-Hailing
Solving Disintermediation in Ride-HailingSolving Disintermediation in Ride-Hailing
Solving Disintermediation in Ride-Hailing
xnayankumar
 
ElizabethMarinoWeek4FinalPresentation.pptx
ElizabethMarinoWeek4FinalPresentation.pptxElizabethMarinoWeek4FinalPresentation.pptx
ElizabethMarinoWeek4FinalPresentation.pptx
LizMarino6
 
Best Ever Guide To Purchased Verified Wise Accounts ( Personal & Business ).pdf
Best Ever Guide To Purchased Verified Wise Accounts ( Personal & Business ).pdfBest Ever Guide To Purchased Verified Wise Accounts ( Personal & Business ).pdf
Best Ever Guide To Purchased Verified Wise Accounts ( Personal & Business ).pdf
Topvasmm
 
The Importance of Influencer Relations in BPO.pptx
The Importance of Influencer Relations in BPO.pptxThe Importance of Influencer Relations in BPO.pptx
The Importance of Influencer Relations in BPO.pptx
Duncan Chapple
 
Triwaves India Limited II Bansun Club II Vijay k Sunder
Triwaves India Limited II Bansun Club II Vijay k SunderTriwaves India Limited II Bansun Club II Vijay k Sunder
Triwaves India Limited II Bansun Club II Vijay k Sunder
Uddham Chand
 
Mastering Fact-Oriented Modeling with Natural Language: The Future of Busines...
Mastering Fact-Oriented Modeling with Natural Language: The Future of Busines...Mastering Fact-Oriented Modeling with Natural Language: The Future of Busines...
Mastering Fact-Oriented Modeling with Natural Language: The Future of Busines...
Marco Wobben
 
Best Ever Platform To Buy Verified Wise Accounts In 2025.pdf
Best Ever Platform To Buy Verified Wise Accounts In 2025.pdfBest Ever Platform To Buy Verified Wise Accounts In 2025.pdf
Best Ever Platform To Buy Verified Wise Accounts In 2025.pdf
Topvasmm
 
EquariusAI analytics for business water risk
EquariusAI analytics for business water riskEquariusAI analytics for business water risk
EquariusAI analytics for business water risk
Peter Adriaens
 
Luxury Real Estate Dubai: A Comprehensive Guide to Opulent Living
Luxury Real Estate Dubai: A Comprehensive Guide to Opulent LivingLuxury Real Estate Dubai: A Comprehensive Guide to Opulent Living
Luxury Real Estate Dubai: A Comprehensive Guide to Opulent Living
Dimitri Sementes
 
Mr. Kalifornia Portfolio Group Project Full Sail University
Mr. Kalifornia Portfolio Group Project Full Sail UniversityMr. Kalifornia Portfolio Group Project Full Sail University
Mr. Kalifornia Portfolio Group Project Full Sail University
bmdecker1
 
Ad

BASIS OF STATISTICS.pptx

  • 1. DISCOVER . LEARN . EMPOWER 1 UNIT-1 INSTITUTE –University School of Business DEPARTMENT -Management M.B.A SUBJECT NAME: Decision Science SUBJECT CODE: 23BAT605 DIKSHA GANDHI ASSISTANT PROFFESOR Basics of Statistics
  • 2. 2
  • 3. 3 ⚫Definition (Descriptive statistics) ⚫The part of statistics concerned with the description and summarization of data is called descriptive statistics ⚫For example: Tables or graphs are used to organize data, and descriptive values such as the average score are used to summarize data. ⚫A descriptive value for a population is called a parameter and a descriptive value for a sample is called a statistic.
  • 4. Inferential Statistics 4 • Definition (inferential statistics) • The part of statistics concerned with the drawing of conclusions from data is called inferential statistics • When the experiment is completed and the data are described and summarized, we hope to be able to draw a conclusion about the efficacy of the drug.
  • 5. Application Areas of Statistics 5 ⚫ In the early 20th century, two of the most important areas of applied statistics were population biology and agriculture . ⚫ Nowadays the ideas of statistics are everywhere. ⚫ Descriptive statistics are featured in every newspaper and magazine. ⚫ Statistical inference has become indispensable. ⚫ to public health and medical research, ⚫ to marketing and quality control ⚫ to education, ⚫ to accounting ⚫ to economics ⚫ to meteorological forecasting ⚫ to polling and surveys ⚫ to sports, ⚫ to insurance ⚫ to gambling and ⚫ to all research that makes any claim to being scientific.
  • 6. 6
  • 7. 7 Scope and importance of Statistics ⚫Statistics and planning: Statistics in indispensable into planning in the modern age which is termed as “the age of planning”. Almost all over the world the govt. are re-storing to planning for economic development. Statistics and economics: Statistical data and techniques of statistical analysis have to immensely useful involving economical problem. Such as wages, price, time series analysis, demand analysis.
  • 8. 8 Statistics and business: Statistics is an irresponsible tool of production control. Business executive are relying more and more on statistical techniques for studying the much and desire of the valued customers. Statistics and industry: In industry statistics is widely used inequality control. In production engineering to find out whether the product is confirming to the specifications or not. Statistical tools, such as Inspection plan, control chart etc.
  • 9. 9 Statistics and mathematics: Statistics are intimately related recent advancements in statistical technique are the outcome of wide applications of mathematics. Statistics and modern science: In medical science the statistical tools for collection, presentation and analysis of observed facts relating to causes and incidence of disease and the result of application various drugs and medicine are of great importance.
  • 10. 10 Statistics, psychology and education: In education and physiology statistics has found wide application such as, determining or to determine the reliability and validity to a test, factor analysis etc. Statistics and war: In war the theory of decision function can be a great assistance to the military and personal to plan “maximum destruction with minimum effort.”
  • 11. 11 Statistics in business and management 1 Marketing: Statistical analysis are frequently used in providing information for making decision in the field of marketing it is necessary first to find out what can be sold and then to evolve suitable strategy, so that the goods which to the ultimate consumer. A skill full analysis of data on production purchasing power, man power, habits of competitors, habits of consumer, transportation cost should be consider to take any attempt to establish a new market. 2.Production: In the field of production statistical data and method play a very important role. The decision about what to produce? How to produce? When to produce? For whom to produce is based largely on statistical analysis. 3. Finance: The financial organization discharging their finance function effectively depend very heavily on statistical analysis of peat and tigers.
  • 12. 12 Statistics in business and management 3.Banking: Banking institute have found if increasingly to establish research department within their organization for the purpose of gathering and analysis information, not only regarding their own business but also regarding general economic situation and every segment of business in which they may have interest. 4.Investment: Statistics greatly assists investors in making clear and valued judgment in his investment decision in selecting securities which are safe and have the best prospects of yielding a good income. 5.Purchase: the purchase department in discharging their function makes use of statistical data to frame suitable purchase policies such as what to buy? What quantity to buy? What time to buy? Where to buy? Whom to buy?
  • 13. 13 6. Accounting: statistical data are also employer in accounting particularly in auditing function, the technique of sampling and destination is frequently used. 7.Control: the management control process combines statistical and accounting method in making the overall budget for the coming year including sales, materials, labor and other costs and net profits and capital requirement.
  • 14. 14 Limitations of Statistics • Statistics laws are true on average. Statistics are aggregates of facts. So single observation is not a statistics, it deals with groups and aggregates only. • Statistical methods are best applicable on quantitative data. • Statistics cannot be applied to heterogeneous data. • It sufficient care is not exercised in collecting, analyzing and interpretation the data, statistical results might be misleading. • Only a person who has an expert knowledge of statistics can handle statistical data efficiently. • Some errors are possible in statistical decisions. Particularly the inferential statistics involves certain errors. We do not know whether an error has been committed or not.
  • 15. References TEXT BOOKS/REFERENCE BOOKS TEXTBOOKS T1 Statistics for Management by G.C. Beri. Tata McGraw Hills Publishing Company Ltd., New Delhi T2 Croucher, J. 2017. Statistics: Making Business Decisions, 13thEdition, Tata McGraw Hill, ISBN: 9780074710419. T3 Levine, D., Sazbat, K. and Stephan, D. 2013. Business Statistics, 7thEdition, Pearson Education, India, ISBN: 9780132807265 REFERENCE BOOKS R1 Business Statistics by Amir D. Aczel and J. Sounderpandian. Tata McGraw Hill Publishing Company Ltd., New Delhi. R2 Gupta, C. and Gupta, V. 2004. An Introduction to Statistical Methods, 23rdEdition, Vikas Publications, India, ISBN: 9788125916543 R3 Statistics for Management by Richard I. Levin and David S. Rubin. Prentice Hall of India Pvt. Ltd., New Delhi
  • 17. For queries get in touch with me at: diksha.e13542@cumail.in