SlideShare ist ein Scribd-Unternehmen logo
1 von 21
Year :2009-2010
                  Gyan Ganga
                  Institute of Technology &                 COURSE PLAN
                  Management                                                          Sem: Odd
                  Khajuri Khurd, Raisen Road,
                  Bhopal




                                            Quantitative Methods




Name of Faculty   : Lokesh Payasi

Programme         : MBA (Batch 09-11)    Third Semester

______________________________________________________________________________
Course Description and Overall Goal

We know that a sound knowledge of statistical techniques is necessary for the study of modern business and economics; this
course will provide a basic introduction to statistical methods for policy analysts. The course will provide an introductory foundation
in statistical inference, enabling the student to become a competent producer of basic statistical research. In addition the skills
acquired will enable the student to become a somewhat more sophisticated consumer of more advanced research methodologies.
The emphasis is on practical applications and real-world problem solving. Areas covered include: descriptive statistics, probability,
inferential statistics, regression and correlation, and the use of a statistical software package.

Learning Objectives

The objective of the course is to make the students familiar with some basic statistical and linear programming techniques. The
main focus, however, is in their applications in business decision-making.

On successful completion of this course students will be able to:



           •   To understand the benefits of Quantitative Methods.
           •   to understand what the data is telling us

           •   To take decision based on central tendencies
       .

           •   To understand the distribution of data with pictures and equations.
•   .




   •   To understand the Probability Experiments and able to take decision logically and rationally with the help of probability.

   •   To use statistical software, such as Microsoft® Excel, to solve business and economic problems

   •   Know various statistical topics, such as frequency distribution, elementary probability theory including discrete and

       continuous probability distributions, estimation, hypothesis testing, and regression analysis.

   •   To understand the concept of using a sample statistic to estimate a population parameter. Criteria for choosing a

       good method.

   •


This course provides students with the insight into the services, pricing, techniques, goals and objectives, management
 styles, internal problems and risks of financial institutions, and the markets in which they operate. The course
 accomplishes this insight by (i) profiling the financial, operating, and organizational characteristics of each type of
 financial institution, and (ii) examining the services offered by these firms to the public.
Learning Methodology

The class will consist of a combination of case discussions, class discussions, student’s presentations and lectures. Student’s
preparation of assigned material and involvement in class discussion is essential for the success of the course and class
participation will count towards the final grade. Generally a student centered learning methodology will be used. The specific
activities will involve:

•   Class discussion on the theoretical aspects of the subject and related the concept in real life situations
•   Solving numerical questions
•   Daily quiz on the topic covered in the last session.

Method of Evaluation



       Item of Evaluation                         Group / Individual Evaluation                     Marks
       Class Participation/ case study            Individual                                        5
       Assignments (1)                            Individual                                        5
       Surprise Tests / quiz                      Individual                                        10
       Attendance                                 1 negative marks for each session missed
Text Books
          1. Fundamentals of Statistics by S.C.Gupta 6th Revised & Enlarged Edition, Himalaya Publications house referred as
              SCG
          2. Business Statistics by R.S.Bhardwaj 2nd Edition, Excel Books referred as RSB
          3. Quantitative Techniques by C.R.Kothari, 3rd Revised Edition, Vikas Publication referred as CRK
          4. Statistical Tools for Managers Using MS Excel by D. P. Apte, Excel Books referred as DPA



Class Participation

Students are expected to attend all classes regularly. A student’s absence does not relieve him or her of meeting all course
requirements. We are engaged in a learning community, one where we strive for an open exchange of ideas. Each of us has
responsibility in the exchange. Individual contributions will be assessed by the instructor and appropriate score will be taken
towards internal assessment.

Student’s Preparation

Students are required to prepare well before attending the classes. You should read the cases mentioned in the course outline
and / or cases announced before the session. You should read at least one of the text books mentioned in the prior readings
section of the course outline.
Total Time Duration

The course is scheduled for 38 sessions of 50 minutes each.
COURSE OUTLINE



Session 1              Topic: Introduction                                                 Implemented
Objective              Is to understand the statistical analysis and Business statistics
                       and also its uses in industry
Prior Reading          RSB Ch.1 Pg. 1-22
Learning Methodology   Discussion, quiz and classroom teaching and game presentation
Additional Practice    SCG Pg.1.1-1.15, CRK Ch.1, DPA Pg.1-6




Session 2,3            Topic: Frequency distribution and graphic representation of         Implemented
                       frequency distribution
Objective              TO understand the type of frequency distribution and how to
                       represent data in diagram form, like PIE chart, HISTOGRAM and
                       other
Prior Reading          RSB Ch.5,7 Pg.49-60 & 71-84,89-97
Learning Methodology
Additional Practice    SCG Pg.3.6-3.42 and 4.1-4.65 CRK Ch.2 DPA Pg.13-19



Session 4,5            Topic: Measures of Central Tendency – Mean                          Implemented
Objective              To make them understand the concept and types of Mean. Long
                       cut method, Short Cut Method.
Prior Reading          RSB Ch.9 Pg. 110-129
Learning Methodology   Discussion, quiz and classroom teaching and Problem Solving on
                       different types of Mean
Additional Practice    SCG Pg.5.1-5.19 CRK Ch.2, DPA Pg.61-63



Session 6              Topic: Median                                                 Implemented
Objective              To make them understand the concept and types of Median. Long
                       cut method, Short Cut Method and its uses in real situation
Prior Reading          RSB Ch.9 Pg. 130-147
Learning Methodology   Discussion, quiz and classroom teaching and Problem Solving on
                       different types
Additional Practice    SCG Pg.5.19-5.34 DPA Pg.73-79



Session 7              Topic: Mode                                                      Implemented
Objective              To Develop the understanding of Mode. And its method for solving
                       the different problem
Prior Reading          RSB Ch.9 Pg. 148-158
Learning Methodology   Discussion, quiz and classroom teaching and Problem Solving on
                       different types
Additional Practice    SCG Pg.5.44-5.47 DPA Pg.80-83
Session 8              Topic: Measures of Central techniques                                 Implemented
Objective              To understand the concept of Central Techniques its Merits and
                       Demerits
Prior Reading          RSB Ch.9 Pg. 158-171
Learning Methodology   Discussion, quiz and classroom teaching
Additional Practice    SCG Pg.5.47-5.77 DPA Pg.83



Session 9              Topic: Domestic of Mean, Median Mode and their managerial             Implemented
                       application.
Objective              To study the measuring and managing various risks and
                       exposure
Prior Reading          RSB Ch.9 Pg. 171-179 5
Learning Methodology   Discussion and Assignment Given for the technique in M.S. Excel
Additional Practice    SCG Pg.5.60-5.77 DPA Pg.83-91



Session 10             Topic: Presentation                                                   Implemented
Objective              6 Group will give presentation on the uses of statistical technique
                       in India.
Prior Reading
Learning Methodology
Additional Practice



Session 11             Topic: Measures of dispersion range                                   Implemented
Objective              To understand the uses of dispersion and the variation of the
                       items or series, to compare two or more sets of data regarding
                       their variability.
Prior Reading          RSB Ch.10 Pg.193-196
Learning Methodology   Discussion, quiz and classroom teaching
Additional Practice    SCG Pg 6.1-6.4 DPA Pg.94



Session 12,13          Topic: Quartile Deviation, Standard Deviation, Mean Deviation.    Implemented
Objective              To understand the uses of Q.D. S.D. M.D. and its uses

Prior Reading          RSB Ch. 10Pg.200-226
Learning Methodology   Discussion, quiz and classroom teaching and Problem Solving on
                       Q.D. S.D. M.D
Additional Practice    SCG Pg.6.5-6.35 DPA Pg.94-101



Session 14             Topic: coefficient of variation                                   Implemented
Objective              To understand the relative measure of dispersion in the form of
                       percentage variation.
Prior Reading          RSB Ch.11 Pg.241
Learning Methodology   Quiz and classroom problem solving
Additional Practice    SCG Pg.6.49



Session 15,16          Topic: skew ness, kurtosis                                         Implemented
Objective              To study the shape (symmetry and asymmetry) of the data and also
                       flatness or peakedness of the curve.
Prior Reading          RSB Ch.11 Pg.248,256
Learning Methodology   Oral Quiz and classroom problem solving
Additional Practice    SCG Pg.7.1-7.15 and 7.37 DPA Pg.102-103
Session 17             Topic: Test                                                          Implemented
Objective              Class will be given a couple of question and they have to solve in
                       30 min.
Prior Reading          Whole unit 1 and unit 2
Learning Methodology
Additional Practice



Session 18,19          Topic: Mathematical probability, Trail and event, sample space       Implemented
Objective              To understand the concept of probability and its theory and also
                       some related topic like Permutation and combination, sets and
                       others.
Prior Reading          RSB Ch.17 Pg.461-471
Learning Methodology   Oral Quiz and classroom problem solving
Additional Practice    SCG Pg.12.1-12.9, CRK Ch.3, DPA Pg.121-124



Session 20             Topic: Additional and multiplication theorem in Probability          Implemented
Objective              To understand different probability theorems and its uses and also
                       some problem solving technique.
Prior Reading          RSB Ch.17 Pg.472-502
Learning Methodology   Oral Quiz and classroom problem solving
Additional Practice    SCG Pg.12.19-12.27, CRK Ch.3, DPA Pg.124-129



Session 21,22          Topic: Simple problem based on sample space, and Addition and        Implemented
                       Multiplication theorem
Objective              To understand the concept of real world problem related to
                       statistics.
Prior Reading          RSB Ch.17 Pg.474-501
Learning Methodology   Oral Quiz and classroom problem solving
Additional Practice    SCG Pg.12.41, DPA Pg.129-149



Session 23             Topic: Distribution: Binomial and their application in business      Implemented
                       decision making
Objective              To understand the probability distribution and also Binomial
                       distribution and its uses and technique to solve problems.
Prior Reading          RSB Ch.18 Pg.555
Learning Methodology   Oral Quiz and classroom problem solving
Additional Practice    SCG Pg.14.1-14.14, CRK Ch.4, DPA Pg.165-169



Session 24             Topic: Distribution: Poisson and their application in business       Implemented
decision making
Objective              To understand the probability distribution in the context of Poisson
                       distribution and its uses and technique to solve problems.
Prior Reading          RSB Ch.19 Pg.567
Learning Methodology   Oral Quiz and classroom problem solving
Additional Practice    SCG Pg.14.20-14.29, CRK Ch.4, DPA Pg.170-175



Session 25             Topic: Distribution : Normal and their application in business         Implemented
                       decision making
Objective              To understand the probability distribution in the context of Normal
                       distribution and its uses and technique to solve problems.
Prior Reading          RSB Ch.19 Pg.578
Learning Methodology   Classroom teaching and numerical solving
Additional Practice    SCG Pg.14.36-14.58, CRK Ch.4, DPA Pg.175-184




Session 26             Topic: Presentation                                                 Implemented
Objective              Class will be given a Real problem of a company for distribution on
                       session 25th and they have to give PPT presentation in session 26th
Prior Reading
Learning Methodology
Additional Practice
Session 27,28          Topic: introduction Correlation and regression analysis          Implemented
Objective              To understand the meaning, advantages, limitations and uses of
                       Correlation and Regression.
Prior Reading          RSB Ch.12, 13 Pg.
Learning Methodology   Class room teaching and solving numerical Problems
Additional Practice    SCG Pg..8.1-8.5, CRK Ch.8, DPA Pg.471-475 & 529-531



Session 29             Topic: Karl Pearson’s coefficient of correlation                 Implemented
Objective              To understand the concept of correlation and covariation between
                       two or more variables. To understand how to establish
                       mathematical relationship.
Prior Reading          RSB Ch.12 Pg.268 CRK Ch.8
Learning Methodology   Class room teaching and solving numerical Problems
Additional Practice    SCG Pg. 8.6-8.22



Session 30             Topic: Rank Correlation, spears man’s rank correlation           Implemented
Objective              To understand the concept of correlation and covariation between
                       two or more variables by the help of Spearman’s Rank
                       Correlation. To understand how to establish mathematical
                       relationship when actual Ranks are given.
Prior Reading          RSB Ch.12 Pg. 282
Learning Methodology   Oral quiz and classroom problem solving
Additional Practice    SCG Pg.8.38-8.45 CRK Ch.8,9
Session 31             Topic: Repeated Ranks,                                     Implemented
Objective              To understand the concept of correlation and covariation
                       between two or more variables by the help of Spearman’s
                       Rank Correlation when rank are repeating.
Prior Reading          RSB Ch.12 Pg.286
Learning Methodology   Oral quiz and classroom problem solving
Additional Practice    SCG Pg.8.46 CRK Ch.8,9



Session 32             Topic: regression equation                                      Implemented
Objective              To understand how regression equation works for linear
                       relationship of data.
Prior Reading          RSB Ch.13 Pg.297
Learning Methodology   Oral quiz and classroom problem solving
Additional Practice    SCG Pg.9.1-9.7 CRK Ch.8 DPA Pg.530-554



Session 33             Topic: Regression coefficient                                     Implemented
Objective              To understand the concept Regression coefficient and its uses for
                       the practical purpose.
Prior Reading          RSB Ch.13 Pg.314
Learning Methodology   Oral quiz and classroom problem solving,
Additional Practice    SCG Pg.9.8-9.40 CRK Ch.8,9
Session 30,31          Topic: Time Series analysis and forecasting                           Implemented
Objective              To understand the concepts, Meaning of Time series and
                       forecasting, how these two help for taking the managerial
                       decision.
Prior Reading          RSB Ch.15 Pg.387-424
Learning Methodology   Classroom discussion and Class will be divided in 8 groups and a
                       problem will be given to them they have to solve a problem and
                       give a decision about the question.
Additional Practice    SCG Pg.11.1-11.51 DPA Pg.495



Session 26             Topic: Presentation                                                 Implemented
Objective              Class will be given a Real problem of a company for distribution on
                       session 25th and they have to give PPT presentation in session 26th
Prior Reading
Learning Methodology
Additional Practice




Session 32             Topic: Introduction of Sampling                                       Implemented
Objective                        To understand the Concepts of Sampling, And also about
                                 Purposive sampling, Random Sampling, simple sampling,
                                 Stratified sampling
Prior Reading                    RSB Ch.20 Pg.601-607
Learning Methodology             Oral quiz and classroom problem solving

Additional Practice              CRK Ch.5 DPA Pg.213-224, SCG Pg.15.1-15.29




Session 33                       Topic: Sample Tests                                             Implemented
Objective                        To understand how sample test can be done and how we select
                                 different sampling style.
Prior Reading                    RSB Ch.21 Pg.619-625.
Learning Methodology
Additional Practice              SCG Pg17.1-17.23, CRK Ch.5

7th objective will be covered after completing this session.



Session 34                       Topic: Hypotheses- Null – hypothesis & Alternative hypothesis   Implemented
Objective              To understand the concept of Null – hypothesis & Alternative
                       hypothesis and also types of error in sampling.
Prior Reading          RSB Ch.21 Pg.631-650
Learning Methodology   Oral quiz and classroom problem solving
Additional Practice    SCG Pg 16.26-16.34 CRK Ch.5 DPA Pg.315-346




Session 35,36          Topic: Chi-square test of goodness of fit                         Implemented
Objective              To understand the Chi- Square and its problems

Prior Reading          RSB Ch.20, 21 Pg. 608-611 and 662
Learning Methodology   Oral quiz and classroom problem solving
Additional Practice    SCG Pg18.1-18.27, CRK Ch.6, DPA Pg.450




Session 37             Topic: t – test for difference of Means                           Implemented
Objective              To understand the t – test and its uses for difference of Means

Prior Reading          RSB Ch.20 Pg.611
Learning Methodology   Oral quiz and classroom problem solving
Additional Practice    SCG Pg19.1-19.26, CRK Ch.5, DPA Pg.416
Session 38                       Topic: Presentations                                                    Implemented
Objective                        Presentation for the 5th unit. Each group will have 8 students
                                 each.3 group will give presentation on Factoring and Bill, other 3
                                 will on Banking and Insurance and other 2 will be on Bill
                                 Discounting (topic will be decided by the lottery)
Prior Reading
Learning Methodology
Additional Practice

8th and 9th Objective will be achieved after this session and all objective will be covered after the lecture.


Session 39                       Doubt Clearing Session                                                          Implemented
Objective                        For the Unit 1,2

Prior Reading
Learning Methodology
Additional Practice



Session 40                       Doubt Clearing Session                                                          Implemented
Objective                       For the Unit 3,4

Prior Reading
Learning Methodology
Additional Practice



Session 41                      Doubt Clearing Session                                                  Implemented
Objective                       For the Unit 5

Prior Reading
Learning Methodology
Additional Practice



                                                      Surprise Tests

Two sessions have been earmarked for surprise tests, the scores of which will go towards the overall internal marking.
Students are advised to prepare on a day-to-day basis, as no notice will be given for these tests.



                                                     Strategy Analysis

In the semester, four-group presentations will be happened.
Assignments

The assignment submission dates will be 14th, 19th, 22nd, 24th, and 26th Nov 09 Students would come to know about the
two assignments in advance.

Delayed submissions will not be accepted and students failing to submit assignment in time will not qualify to get allocated
marks in the internals assessment.
                                               WISH YOU ALL THE BEST

Weitere ähnliche Inhalte

Was ist angesagt?

ASSURE model
ASSURE modelASSURE model
ASSURE modelSara Rida
 
Trts
TrtsTrts
Trtshnod
 
Corporate training curriculum overview
Corporate training curriculum overviewCorporate training curriculum overview
Corporate training curriculum overviewJigba
 
Cgp grade 12 module 8-empowered-to-take-off-final
Cgp grade 12 module 8-empowered-to-take-off-finalCgp grade 12 module 8-empowered-to-take-off-final
Cgp grade 12 module 8-empowered-to-take-off-finalAllanPalmaGil2
 
Athira thampan micro teaching
Athira thampan micro teachingAthira thampan micro teaching
Athira thampan micro teachingathira thampan
 
Busent24002syllabus fall 2011
Busent24002syllabus fall 2011Busent24002syllabus fall 2011
Busent24002syllabus fall 2011cdjames2
 
ASSURE PowerPoint
ASSURE PowerPointASSURE PowerPoint
ASSURE PowerPointmauk4
 
Nj model curriculum
Nj model curriculumNj model curriculum
Nj model curriculumMrSanchez
 
Em 501 introduction to business-course outline
Em 501 introduction to business-course outlineEm 501 introduction to business-course outline
Em 501 introduction to business-course outlineMahmud Ahmed
 

Was ist angesagt? (11)

ASSURE model
ASSURE modelASSURE model
ASSURE model
 
Unit 3 abg izhar
Unit 3 abg izharUnit 3 abg izhar
Unit 3 abg izhar
 
Trts
TrtsTrts
Trts
 
B6 panneerselvam
B6 panneerselvamB6 panneerselvam
B6 panneerselvam
 
Corporate training curriculum overview
Corporate training curriculum overviewCorporate training curriculum overview
Corporate training curriculum overview
 
Cgp grade 12 module 8-empowered-to-take-off-final
Cgp grade 12 module 8-empowered-to-take-off-finalCgp grade 12 module 8-empowered-to-take-off-final
Cgp grade 12 module 8-empowered-to-take-off-final
 
Athira thampan micro teaching
Athira thampan micro teachingAthira thampan micro teaching
Athira thampan micro teaching
 
Busent24002syllabus fall 2011
Busent24002syllabus fall 2011Busent24002syllabus fall 2011
Busent24002syllabus fall 2011
 
ASSURE PowerPoint
ASSURE PowerPointASSURE PowerPoint
ASSURE PowerPoint
 
Nj model curriculum
Nj model curriculumNj model curriculum
Nj model curriculum
 
Em 501 introduction to business-course outline
Em 501 introduction to business-course outlineEm 501 introduction to business-course outline
Em 501 introduction to business-course outline
 

Ähnlich wie Course Plan Quantitative Methods

Kemp instructional model
Kemp instructional modelKemp instructional model
Kemp instructional modelrobinlatio
 
Kemp design model
Kemp design modelKemp design model
Kemp design modelrobinlatio
 
Assessment & feedback for learning module induction
Assessment & feedback for learning module inductionAssessment & feedback for learning module induction
Assessment & feedback for learning module inductionNeil Currant
 
Adopting a strategy for enhancing generic skills in engineering education
Adopting a strategy for enhancing generic skills in engineering educationAdopting a strategy for enhancing generic skills in engineering education
Adopting a strategy for enhancing generic skills in engineering educationKrassadaki Lia (Evangelia)
 
Designing instruction laying the foundation
Designing instruction laying the foundationDesigning instruction laying the foundation
Designing instruction laying the foundationKathleen Stone
 
Krantiguru shyamji krishna verma kachchh university bhuj gujrat prospectus 20...
Krantiguru shyamji krishna verma kachchh university bhuj gujrat prospectus 20...Krantiguru shyamji krishna verma kachchh university bhuj gujrat prospectus 20...
Krantiguru shyamji krishna verma kachchh university bhuj gujrat prospectus 20...00007123
 
Examination reform policy
Examination reform policy Examination reform policy
Examination reform policy Dr. Vishal Jain
 
Outcomes based teaching learning plan (obtl) - Problem Solving, mathematical ...
Outcomes based teaching learning plan (obtl) - Problem Solving, mathematical ...Outcomes based teaching learning plan (obtl) - Problem Solving, mathematical ...
Outcomes based teaching learning plan (obtl) - Problem Solving, mathematical ...Elton John Embodo
 
BDM Scheme of Work.docScheme of WorkBTEC HND in Busine.docx
BDM Scheme of Work.docScheme of WorkBTEC HND in Busine.docxBDM Scheme of Work.docScheme of WorkBTEC HND in Busine.docx
BDM Scheme of Work.docScheme of WorkBTEC HND in Busine.docxJASS44
 
andragogy syllabus.docx
andragogy syllabus.docxandragogy syllabus.docx
andragogy syllabus.docxgellipaje1
 
Is it True? Always? Supporting Reasoning and Proof Focused Collaboration amon...
Is it True? Always? Supporting Reasoning and Proof Focused Collaboration amon...Is it True? Always? Supporting Reasoning and Proof Focused Collaboration amon...
Is it True? Always? Supporting Reasoning and Proof Focused Collaboration amon...Nicole Rigelman
 
Reconciling a Traditional Syllabus with an Inquiry-Based Introductory Course
Reconciling a Traditional Syllabus with an Inquiry-Based Introductory CourseReconciling a Traditional Syllabus with an Inquiry-Based Introductory Course
Reconciling a Traditional Syllabus with an Inquiry-Based Introductory CourseKatrin Becker
 
P a g e 1 Sy l l a b u s L a s t U p d a t e d 5 30 .docx
P a g e    1  Sy l l a b u s  L a s t  U p d a t e d  5 30 .docxP a g e    1  Sy l l a b u s  L a s t  U p d a t e d  5 30 .docx
P a g e 1 Sy l l a b u s L a s t U p d a t e d 5 30 .docxgerardkortney
 
Syllabus mgt610 2013_s
Syllabus mgt610 2013_sSyllabus mgt610 2013_s
Syllabus mgt610 2013_shenry KKK
 

Ähnlich wie Course Plan Quantitative Methods (20)

Kemp instructional model
Kemp instructional modelKemp instructional model
Kemp instructional model
 
Kemp design model
Kemp design modelKemp design model
Kemp design model
 
How Can We Use Assessment Techniques to Enhance the Learning of Pareducators?...
How Can We Use Assessment Techniques to Enhance the Learning of Pareducators?...How Can We Use Assessment Techniques to Enhance the Learning of Pareducators?...
How Can We Use Assessment Techniques to Enhance the Learning of Pareducators?...
 
3 1-wesam
3 1-wesam3 1-wesam
3 1-wesam
 
Assessment & feedback for learning module induction
Assessment & feedback for learning module inductionAssessment & feedback for learning module induction
Assessment & feedback for learning module induction
 
Adopting a strategy for enhancing generic skills in engineering education
Adopting a strategy for enhancing generic skills in engineering educationAdopting a strategy for enhancing generic skills in engineering education
Adopting a strategy for enhancing generic skills in engineering education
 
Designing instruction laying the foundation
Designing instruction laying the foundationDesigning instruction laying the foundation
Designing instruction laying the foundation
 
Krantiguru shyamji krishna verma kachchh university bhuj gujrat prospectus 20...
Krantiguru shyamji krishna verma kachchh university bhuj gujrat prospectus 20...Krantiguru shyamji krishna verma kachchh university bhuj gujrat prospectus 20...
Krantiguru shyamji krishna verma kachchh university bhuj gujrat prospectus 20...
 
B.B.A syllabus sem 1 to 5
B.B.A syllabus sem 1 to 5 B.B.A syllabus sem 1 to 5
B.B.A syllabus sem 1 to 5
 
Examination reform policy
Examination reform policy Examination reform policy
Examination reform policy
 
Outcomes based teaching learning plan (obtl) - Problem Solving, mathematical ...
Outcomes based teaching learning plan (obtl) - Problem Solving, mathematical ...Outcomes based teaching learning plan (obtl) - Problem Solving, mathematical ...
Outcomes based teaching learning plan (obtl) - Problem Solving, mathematical ...
 
BDM Scheme of Work.docScheme of WorkBTEC HND in Busine.docx
BDM Scheme of Work.docScheme of WorkBTEC HND in Busine.docxBDM Scheme of Work.docScheme of WorkBTEC HND in Busine.docx
BDM Scheme of Work.docScheme of WorkBTEC HND in Busine.docx
 
Syllabus International Advanced Diploma In Business
Syllabus  International  Advanced   Diploma In  BusinessSyllabus  International  Advanced   Diploma In  Business
Syllabus International Advanced Diploma In Business
 
andragogy syllabus.docx
andragogy syllabus.docxandragogy syllabus.docx
andragogy syllabus.docx
 
Is it True? Always? Supporting Reasoning and Proof Focused Collaboration amon...
Is it True? Always? Supporting Reasoning and Proof Focused Collaboration amon...Is it True? Always? Supporting Reasoning and Proof Focused Collaboration amon...
Is it True? Always? Supporting Reasoning and Proof Focused Collaboration amon...
 
Reconciling a Traditional Syllabus with an Inquiry-Based Introductory Course
Reconciling a Traditional Syllabus with an Inquiry-Based Introductory CourseReconciling a Traditional Syllabus with an Inquiry-Based Introductory Course
Reconciling a Traditional Syllabus with an Inquiry-Based Introductory Course
 
P a g e 1 Sy l l a b u s L a s t U p d a t e d 5 30 .docx
P a g e    1  Sy l l a b u s  L a s t  U p d a t e d  5 30 .docxP a g e    1  Sy l l a b u s  L a s t  U p d a t e d  5 30 .docx
P a g e 1 Sy l l a b u s L a s t U p d a t e d 5 30 .docx
 
PGPTP Orientation Session Notes
PGPTP Orientation Session NotesPGPTP Orientation Session Notes
PGPTP Orientation Session Notes
 
Syllabus mgt610 2013_s
Syllabus mgt610 2013_sSyllabus mgt610 2013_s
Syllabus mgt610 2013_s
 
Session 4
Session 4Session 4
Session 4
 

Kürzlich hochgeladen

Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfRankYa
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesZilliz
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 

Kürzlich hochgeladen (20)

Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Search Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdfSearch Engine Optimization SEO PDF for 2024.pdf
Search Engine Optimization SEO PDF for 2024.pdf
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector Databases
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 

Course Plan Quantitative Methods

  • 1. Year :2009-2010 Gyan Ganga Institute of Technology & COURSE PLAN Management Sem: Odd Khajuri Khurd, Raisen Road, Bhopal Quantitative Methods Name of Faculty : Lokesh Payasi Programme : MBA (Batch 09-11) Third Semester ______________________________________________________________________________
  • 2. Course Description and Overall Goal We know that a sound knowledge of statistical techniques is necessary for the study of modern business and economics; this course will provide a basic introduction to statistical methods for policy analysts. The course will provide an introductory foundation in statistical inference, enabling the student to become a competent producer of basic statistical research. In addition the skills acquired will enable the student to become a somewhat more sophisticated consumer of more advanced research methodologies. The emphasis is on practical applications and real-world problem solving. Areas covered include: descriptive statistics, probability, inferential statistics, regression and correlation, and the use of a statistical software package. Learning Objectives The objective of the course is to make the students familiar with some basic statistical and linear programming techniques. The main focus, however, is in their applications in business decision-making. On successful completion of this course students will be able to: • To understand the benefits of Quantitative Methods. • to understand what the data is telling us • To take decision based on central tendencies . • To understand the distribution of data with pictures and equations.
  • 3. . • To understand the Probability Experiments and able to take decision logically and rationally with the help of probability. • To use statistical software, such as Microsoft® Excel, to solve business and economic problems • Know various statistical topics, such as frequency distribution, elementary probability theory including discrete and continuous probability distributions, estimation, hypothesis testing, and regression analysis. • To understand the concept of using a sample statistic to estimate a population parameter. Criteria for choosing a good method. • This course provides students with the insight into the services, pricing, techniques, goals and objectives, management styles, internal problems and risks of financial institutions, and the markets in which they operate. The course accomplishes this insight by (i) profiling the financial, operating, and organizational characteristics of each type of financial institution, and (ii) examining the services offered by these firms to the public.
  • 4. Learning Methodology The class will consist of a combination of case discussions, class discussions, student’s presentations and lectures. Student’s preparation of assigned material and involvement in class discussion is essential for the success of the course and class participation will count towards the final grade. Generally a student centered learning methodology will be used. The specific activities will involve: • Class discussion on the theoretical aspects of the subject and related the concept in real life situations • Solving numerical questions • Daily quiz on the topic covered in the last session. Method of Evaluation Item of Evaluation Group / Individual Evaluation Marks Class Participation/ case study Individual 5 Assignments (1) Individual 5 Surprise Tests / quiz Individual 10 Attendance 1 negative marks for each session missed
  • 5. Text Books 1. Fundamentals of Statistics by S.C.Gupta 6th Revised & Enlarged Edition, Himalaya Publications house referred as SCG 2. Business Statistics by R.S.Bhardwaj 2nd Edition, Excel Books referred as RSB 3. Quantitative Techniques by C.R.Kothari, 3rd Revised Edition, Vikas Publication referred as CRK 4. Statistical Tools for Managers Using MS Excel by D. P. Apte, Excel Books referred as DPA Class Participation Students are expected to attend all classes regularly. A student’s absence does not relieve him or her of meeting all course requirements. We are engaged in a learning community, one where we strive for an open exchange of ideas. Each of us has responsibility in the exchange. Individual contributions will be assessed by the instructor and appropriate score will be taken towards internal assessment. Student’s Preparation Students are required to prepare well before attending the classes. You should read the cases mentioned in the course outline and / or cases announced before the session. You should read at least one of the text books mentioned in the prior readings section of the course outline.
  • 6. Total Time Duration The course is scheduled for 38 sessions of 50 minutes each.
  • 7. COURSE OUTLINE Session 1 Topic: Introduction Implemented Objective Is to understand the statistical analysis and Business statistics and also its uses in industry Prior Reading RSB Ch.1 Pg. 1-22 Learning Methodology Discussion, quiz and classroom teaching and game presentation Additional Practice SCG Pg.1.1-1.15, CRK Ch.1, DPA Pg.1-6 Session 2,3 Topic: Frequency distribution and graphic representation of Implemented frequency distribution Objective TO understand the type of frequency distribution and how to represent data in diagram form, like PIE chart, HISTOGRAM and other Prior Reading RSB Ch.5,7 Pg.49-60 & 71-84,89-97 Learning Methodology Additional Practice SCG Pg.3.6-3.42 and 4.1-4.65 CRK Ch.2 DPA Pg.13-19 Session 4,5 Topic: Measures of Central Tendency – Mean Implemented
  • 8. Objective To make them understand the concept and types of Mean. Long cut method, Short Cut Method. Prior Reading RSB Ch.9 Pg. 110-129 Learning Methodology Discussion, quiz and classroom teaching and Problem Solving on different types of Mean Additional Practice SCG Pg.5.1-5.19 CRK Ch.2, DPA Pg.61-63 Session 6 Topic: Median Implemented Objective To make them understand the concept and types of Median. Long cut method, Short Cut Method and its uses in real situation Prior Reading RSB Ch.9 Pg. 130-147 Learning Methodology Discussion, quiz and classroom teaching and Problem Solving on different types Additional Practice SCG Pg.5.19-5.34 DPA Pg.73-79 Session 7 Topic: Mode Implemented Objective To Develop the understanding of Mode. And its method for solving the different problem Prior Reading RSB Ch.9 Pg. 148-158 Learning Methodology Discussion, quiz and classroom teaching and Problem Solving on different types Additional Practice SCG Pg.5.44-5.47 DPA Pg.80-83
  • 9. Session 8 Topic: Measures of Central techniques Implemented Objective To understand the concept of Central Techniques its Merits and Demerits Prior Reading RSB Ch.9 Pg. 158-171 Learning Methodology Discussion, quiz and classroom teaching Additional Practice SCG Pg.5.47-5.77 DPA Pg.83 Session 9 Topic: Domestic of Mean, Median Mode and their managerial Implemented application. Objective To study the measuring and managing various risks and exposure Prior Reading RSB Ch.9 Pg. 171-179 5 Learning Methodology Discussion and Assignment Given for the technique in M.S. Excel Additional Practice SCG Pg.5.60-5.77 DPA Pg.83-91 Session 10 Topic: Presentation Implemented Objective 6 Group will give presentation on the uses of statistical technique in India. Prior Reading Learning Methodology Additional Practice Session 11 Topic: Measures of dispersion range Implemented
  • 10. Objective To understand the uses of dispersion and the variation of the items or series, to compare two or more sets of data regarding their variability. Prior Reading RSB Ch.10 Pg.193-196 Learning Methodology Discussion, quiz and classroom teaching Additional Practice SCG Pg 6.1-6.4 DPA Pg.94 Session 12,13 Topic: Quartile Deviation, Standard Deviation, Mean Deviation. Implemented Objective To understand the uses of Q.D. S.D. M.D. and its uses Prior Reading RSB Ch. 10Pg.200-226 Learning Methodology Discussion, quiz and classroom teaching and Problem Solving on Q.D. S.D. M.D Additional Practice SCG Pg.6.5-6.35 DPA Pg.94-101 Session 14 Topic: coefficient of variation Implemented Objective To understand the relative measure of dispersion in the form of percentage variation. Prior Reading RSB Ch.11 Pg.241 Learning Methodology Quiz and classroom problem solving Additional Practice SCG Pg.6.49 Session 15,16 Topic: skew ness, kurtosis Implemented
  • 11. Objective To study the shape (symmetry and asymmetry) of the data and also flatness or peakedness of the curve. Prior Reading RSB Ch.11 Pg.248,256 Learning Methodology Oral Quiz and classroom problem solving Additional Practice SCG Pg.7.1-7.15 and 7.37 DPA Pg.102-103 Session 17 Topic: Test Implemented Objective Class will be given a couple of question and they have to solve in 30 min. Prior Reading Whole unit 1 and unit 2 Learning Methodology Additional Practice Session 18,19 Topic: Mathematical probability, Trail and event, sample space Implemented Objective To understand the concept of probability and its theory and also some related topic like Permutation and combination, sets and others. Prior Reading RSB Ch.17 Pg.461-471 Learning Methodology Oral Quiz and classroom problem solving Additional Practice SCG Pg.12.1-12.9, CRK Ch.3, DPA Pg.121-124 Session 20 Topic: Additional and multiplication theorem in Probability Implemented
  • 12. Objective To understand different probability theorems and its uses and also some problem solving technique. Prior Reading RSB Ch.17 Pg.472-502 Learning Methodology Oral Quiz and classroom problem solving Additional Practice SCG Pg.12.19-12.27, CRK Ch.3, DPA Pg.124-129 Session 21,22 Topic: Simple problem based on sample space, and Addition and Implemented Multiplication theorem Objective To understand the concept of real world problem related to statistics. Prior Reading RSB Ch.17 Pg.474-501 Learning Methodology Oral Quiz and classroom problem solving Additional Practice SCG Pg.12.41, DPA Pg.129-149 Session 23 Topic: Distribution: Binomial and their application in business Implemented decision making Objective To understand the probability distribution and also Binomial distribution and its uses and technique to solve problems. Prior Reading RSB Ch.18 Pg.555 Learning Methodology Oral Quiz and classroom problem solving Additional Practice SCG Pg.14.1-14.14, CRK Ch.4, DPA Pg.165-169 Session 24 Topic: Distribution: Poisson and their application in business Implemented
  • 13. decision making Objective To understand the probability distribution in the context of Poisson distribution and its uses and technique to solve problems. Prior Reading RSB Ch.19 Pg.567 Learning Methodology Oral Quiz and classroom problem solving Additional Practice SCG Pg.14.20-14.29, CRK Ch.4, DPA Pg.170-175 Session 25 Topic: Distribution : Normal and their application in business Implemented decision making Objective To understand the probability distribution in the context of Normal distribution and its uses and technique to solve problems. Prior Reading RSB Ch.19 Pg.578 Learning Methodology Classroom teaching and numerical solving Additional Practice SCG Pg.14.36-14.58, CRK Ch.4, DPA Pg.175-184 Session 26 Topic: Presentation Implemented Objective Class will be given a Real problem of a company for distribution on session 25th and they have to give PPT presentation in session 26th Prior Reading Learning Methodology Additional Practice
  • 14. Session 27,28 Topic: introduction Correlation and regression analysis Implemented Objective To understand the meaning, advantages, limitations and uses of Correlation and Regression. Prior Reading RSB Ch.12, 13 Pg. Learning Methodology Class room teaching and solving numerical Problems Additional Practice SCG Pg..8.1-8.5, CRK Ch.8, DPA Pg.471-475 & 529-531 Session 29 Topic: Karl Pearson’s coefficient of correlation Implemented Objective To understand the concept of correlation and covariation between two or more variables. To understand how to establish mathematical relationship. Prior Reading RSB Ch.12 Pg.268 CRK Ch.8 Learning Methodology Class room teaching and solving numerical Problems Additional Practice SCG Pg. 8.6-8.22 Session 30 Topic: Rank Correlation, spears man’s rank correlation Implemented Objective To understand the concept of correlation and covariation between two or more variables by the help of Spearman’s Rank Correlation. To understand how to establish mathematical relationship when actual Ranks are given. Prior Reading RSB Ch.12 Pg. 282 Learning Methodology Oral quiz and classroom problem solving Additional Practice SCG Pg.8.38-8.45 CRK Ch.8,9
  • 15. Session 31 Topic: Repeated Ranks, Implemented Objective To understand the concept of correlation and covariation between two or more variables by the help of Spearman’s Rank Correlation when rank are repeating. Prior Reading RSB Ch.12 Pg.286 Learning Methodology Oral quiz and classroom problem solving Additional Practice SCG Pg.8.46 CRK Ch.8,9 Session 32 Topic: regression equation Implemented Objective To understand how regression equation works for linear relationship of data. Prior Reading RSB Ch.13 Pg.297 Learning Methodology Oral quiz and classroom problem solving Additional Practice SCG Pg.9.1-9.7 CRK Ch.8 DPA Pg.530-554 Session 33 Topic: Regression coefficient Implemented Objective To understand the concept Regression coefficient and its uses for the practical purpose. Prior Reading RSB Ch.13 Pg.314 Learning Methodology Oral quiz and classroom problem solving, Additional Practice SCG Pg.9.8-9.40 CRK Ch.8,9
  • 16. Session 30,31 Topic: Time Series analysis and forecasting Implemented Objective To understand the concepts, Meaning of Time series and forecasting, how these two help for taking the managerial decision. Prior Reading RSB Ch.15 Pg.387-424 Learning Methodology Classroom discussion and Class will be divided in 8 groups and a problem will be given to them they have to solve a problem and give a decision about the question. Additional Practice SCG Pg.11.1-11.51 DPA Pg.495 Session 26 Topic: Presentation Implemented Objective Class will be given a Real problem of a company for distribution on session 25th and they have to give PPT presentation in session 26th Prior Reading Learning Methodology Additional Practice Session 32 Topic: Introduction of Sampling Implemented
  • 17. Objective To understand the Concepts of Sampling, And also about Purposive sampling, Random Sampling, simple sampling, Stratified sampling Prior Reading RSB Ch.20 Pg.601-607 Learning Methodology Oral quiz and classroom problem solving Additional Practice CRK Ch.5 DPA Pg.213-224, SCG Pg.15.1-15.29 Session 33 Topic: Sample Tests Implemented Objective To understand how sample test can be done and how we select different sampling style. Prior Reading RSB Ch.21 Pg.619-625. Learning Methodology Additional Practice SCG Pg17.1-17.23, CRK Ch.5 7th objective will be covered after completing this session. Session 34 Topic: Hypotheses- Null – hypothesis & Alternative hypothesis Implemented
  • 18. Objective To understand the concept of Null – hypothesis & Alternative hypothesis and also types of error in sampling. Prior Reading RSB Ch.21 Pg.631-650 Learning Methodology Oral quiz and classroom problem solving Additional Practice SCG Pg 16.26-16.34 CRK Ch.5 DPA Pg.315-346 Session 35,36 Topic: Chi-square test of goodness of fit Implemented Objective To understand the Chi- Square and its problems Prior Reading RSB Ch.20, 21 Pg. 608-611 and 662 Learning Methodology Oral quiz and classroom problem solving Additional Practice SCG Pg18.1-18.27, CRK Ch.6, DPA Pg.450 Session 37 Topic: t – test for difference of Means Implemented Objective To understand the t – test and its uses for difference of Means Prior Reading RSB Ch.20 Pg.611 Learning Methodology Oral quiz and classroom problem solving Additional Practice SCG Pg19.1-19.26, CRK Ch.5, DPA Pg.416
  • 19. Session 38 Topic: Presentations Implemented Objective Presentation for the 5th unit. Each group will have 8 students each.3 group will give presentation on Factoring and Bill, other 3 will on Banking and Insurance and other 2 will be on Bill Discounting (topic will be decided by the lottery) Prior Reading Learning Methodology Additional Practice 8th and 9th Objective will be achieved after this session and all objective will be covered after the lecture. Session 39 Doubt Clearing Session Implemented Objective For the Unit 1,2 Prior Reading Learning Methodology Additional Practice Session 40 Doubt Clearing Session Implemented
  • 20. Objective For the Unit 3,4 Prior Reading Learning Methodology Additional Practice Session 41 Doubt Clearing Session Implemented Objective For the Unit 5 Prior Reading Learning Methodology Additional Practice Surprise Tests Two sessions have been earmarked for surprise tests, the scores of which will go towards the overall internal marking. Students are advised to prepare on a day-to-day basis, as no notice will be given for these tests. Strategy Analysis In the semester, four-group presentations will be happened.
  • 21. Assignments The assignment submission dates will be 14th, 19th, 22nd, 24th, and 26th Nov 09 Students would come to know about the two assignments in advance. Delayed submissions will not be accepted and students failing to submit assignment in time will not qualify to get allocated marks in the internals assessment. WISH YOU ALL THE BEST