Course Plan Business Statistics
Content
Course Plan
KO1 BUS3
Business Statistics Ms. L.Rama Mr. Anand Sasikumar Ms. Smitha Ramachandran
Term I (September-09 to December-09)
Programme: Post Graduate Diploma in Management (PGDM) SCMS - COCHIN
Table of Contents
1. COURSE PROFILE:...................................................................................3 2. COURSE (OVERALL) OBJECTIVE/S: ........................................................3 3. COURSE OUTLINE (SYLLABUS)................................................................3 3 4. COURSEWARE:.........................................................................................4 5. COURSE IMPLEMENTATION: PEDAGOGY & EVALUATION APPROACH .....4 4 4 5 5 6 6 6 7 8 6. THE INTERNAL ASSESSMENT ..............................................................8 7. MILESTONES / IMPORTANT DATES .......................................................8 8. SESSION PLAN .......................................................................................9 9. MID TERM EXAMINATION COVERAGE AND QP PATTERN......................10 10. END TERM EXAMINATION COVERAGE AND QP PATTERN ..................10
2
1. Course Profile:
Course Title Number Programme Total Credits Total Number of Sessions Session Duration Faculty/course facilitator Business Statistics KO1 BUS3 Post Graduate Diploma in Management (PGDM) 3 25 1 hr 15 mins Ms. L.Rama/Mr. Anand Sasikumar/ Ms. Smitha Ramachandran
2. Course (overall) Objective/s:
A. B. C. D. To To To To familiarize the concepts of statistics and their applications in Business analyze quantitatively to interpret the existing situation or problem look for the various alternative solutions to problems select the best alternative as a course of action
3. Course Outline (Syllabus)
Module no Weightage Description (list the topics covered in the course under each module)
1 2 3
15 % 20% 20%
Importance of Decision making in Management. Quantitative techniques and their field of application in management, Presentation of data -graphs and charts, frequency distributions. Measures of central tendency, Measures of position, Measures of dispersion Correlation & Regression Analysis: An Introduction: Scatter diagram, Estimation using Regression Line, Coefficient of determination & Coefficient of Correlation, Single & multiple regression. Timeseries&Forecasting,SeasonalVariation,cyclicalVariation,Seasonal, Irregular Variation, Trend Analysis, Problems involving all four components of a time series
4 20%
3
5 6 Total
12.5 % 12.5% 100%
Permutations and combinations, Introduction to Probability, Marginal, Conditional & Joint Probability, Bayes Theorem, Decision Tree Probability Distributions: Binomial Distributions, Poisson, Normal Distributions
4. Courseware:
Book/Journal/ Article/case studies Title Author Year/ Edition/ Volume Publisher
Statistics for Management Business Statistics Business Statistics
Richard I.Levin,David S.Rubin RS Bhardwaj Dr .JS Chandan, Prof.Jagit Singh, KK Khanna
Seventh Edition
Second Edition
Eastern Economy Edition Excel Books Vikas Publishing House
5.
Course implementation: Pedagogy & Evaluation Approach 5.1 Module 1: Module name Sessions Weightage 5.1.1 Learning objective A) To understand the importance of decision making in management B) To analyze Business data and present then in graphical and meaningful form C) To draw inferences from such data and take optimal Business decisions. 5.12 Pre requisite Students are expected to know basic mathematics and fundamentals of statistics. 5.1.3. Pedagogy / Structure of lessons Introduction to Statistics 1-3 15%
The session involves the combinations of lecture, discussion and application problems. 5.1.4. Courseware of the module: Text book & chapter references Richard I.Levin-Chapters-1,2, RS Bhardwaj – Chapters-7,8
5.1.5. Evaluation
for the module Weightage Topic No and/ or specification Importance of Decision making in Management. Quantitative techniques and their field of application in management, Presentation of data -graphs and charts, frequency distributions.
(List as applicable)
Assignment
15%
4
5.2 Module 2: Module name Sessions Weightage Measures of central tendency, dispersions positions in frequency distributions 4-9 20% and
5.2.1 Learning objective A) Define and compute the various measures of central tendency B) Understand the concept, define and compute the different measures of dispersion C) To know the importance of various measures of position
5.2.2 Pre requisite Students are expected to know basic mathematics, fundamentals of statistics, and concepts of mean, median and mode. 5.2.3 Pedagogy / Structure of lessons
The session includes lectures and problems involving changes in a set of parameters that can affect the other set of parameters, which result in changes in decision making. 5.2.4 Courseware of the module: Richard I. Levin-Chapter 3 RS Bhardwaj-Chapters 9,10
Text book & chapter references
5.2.5 Evaluation
for the module Weightage 20% Topic No and/ or specification Measures of central tendency Measures of dispersion Measures of Position
(List as applicable) Test
5.3 Module 3 Module name Sessions Weightage 5.3.1 Learning objective A) To learn how many decisions depend on knowing the specific relationships between two or more variables B) To use Scatter diagrams to visualize the relationships between two variables C) To use regression analysis to estimate the relationship between two variables Correlation and Regression Analysis 10-15 20%
5
D) To learn how correlation analysis describes the degree in which two variables are linearly related to each other E) To understand the coeifficient of determination as a measure of the strength and relationship between two variables 5.3.2 Pre requisite Students are expected to know linear relations between two variables and graphical representation of the same. 5.3.3 Pedagogy / Structure of lessons The session includes lecture, discussion and problem solving 5.3.4. Courseware of the module: Statistics for Management Levin –Chapters 12,13 RS Bhardwaj- Chapters 12,13
Text book & chapter references 5.3.5 Evaluation for the module
(List as applicable) Assignment
Weightage 20%
Topic No and/ or specification Regression Analysis Scatter Diagram Correlation Analysis
5.4 Module 4 Module name Sessions Weightage 5.4.1 Learning objective A) To learn why forecasting changes takes place over a time are an important part of decision making B To understand the four components of a time series C) To use regression based techniques to estimate and forecast the trend in a time series D) To learn how to measure the cyclical component of a time series E) To deal simultaneously with all four components of a time series analysis for forecasting 5.4.2 Pre requisite Students are expected to know basic mathematical theory of equations and relationship between dependent and independent variables 5.4.3 Pedagogy / Structure of lessons The session involves the lectures and problems (treated as case studies) for forecasting future events based on mathematical techniques, which are crucial in decision making . 5.4. 4. Courseware of the module: Richard I.Levin-Chapter-15 RS Bhardwaj– Chapter-15 Forecasting Techniques 16-18 20%
Text book & chapter references
6
Case study
5.4.5 Evaluation
for the module Weightage 20% Topic No and/ or specification Introduction, variations in time series, Trend Analysis/Seasonal, Irregular variations problems involving time series and forecasting Problems Involving all four components of a time series
(List as applicable) Test
5.5 Module 5 Module name Sessions Weightage 5.5.1 Learning objective A) To examine the use of probability theory in decision making B) To explain the different ways probabilities arise C) To develop the rules for calculating different kinds of probabilities D) To understand the concept of probability used in Bayes Theorem and their use in decision making 5.5.2 Pre requisite Students are expected to know the fundamentals of probability, permutation and combinations. 5.5.3. Pedagogy / Structure of lessons Probability 19-21 12.5%
The session involves lectures and the use of different theories of probability in decision making 5.5.4 Courseware of the module: Text book & chapter references Richard I. Levin-Chapters- 4,5 S.C Gupta – Chapter-17.19
5.5.5. Evaluation
for the module Weightag e 12.5% Topic No and/ or specification Decision Tree
(List as applicable) Assignment
7
5.6 Module 6 Module name Sessions Weightage 5.6.1 Learning objective A) To examine the use of probability theory in decision making B) To explain the different ways probabilities arise C) To develop the rules for calculating different kinds of probabilities D) To understand the concept of probability used in Bayes Theorem and their use in decision making 5.6.2 Pre requisite Students are expected to know the fundamentals of probability, permutation and combinations. 5.6.3. Pedagogy / Structure of lessons Probability Distributions 22-25 12.5%
The session involves lectures and the use of different theories of probability in decision making 5.6.4 Courseware of the module: Text book & chapter references Case study Richard I. Levin-Chapters- 4,5 S.C Gupta – Chapter-17.19
5.6.5. Evaluation
for the module Weightage 12.5% Topic No and/ or specification Probability Distributions
(List as applicable) Assignment
6.
The internal assessment
The internal assessment shall be based on the following Evaluation Criteria Criteria Assignment – 4 No’s * 5 Mid Term Exam Class Test – 2 No’s * 15 Total 7. Milestones / Important Dates Maximum Marks 20 20 30 70
Sl. No.
Assignment / Class Test / Project/ Presentation etc.
Tentative Date/ SESSION
8
1 2 3 3 4 5 6
Assignment 1 Class Test 1 Assignment 2 Mid term Class test 2 Assignment 3 Assignment 4
After completion of 1 module After completion of 2 module After completion of 3 module After completion of 3 modules After completion of 4 modules After completion of 5 modules After completion of 6 modules
8. Session Plan Module Session Topics Reading reference / Assignment (Preparatory. Work) Assignments/ Activities (for evaluation)
I
1
Importance of Decision making in Management. Quantitative techniques and their field of application in management Presentation of data -graphs and charts, frequency distributions Measures of central tendency Measures of central tendency Measures of position Measures of position Measures of dispersion Measures of dispersion Correlation: An Introduction, Scatter diagram Coefficient of Correlation Rank Correlation Linear Regression Analysis: Introduction
2
3
II
4 5 6 7 8 9
III
10 11 12 13
Richard I.Levin-Chapters1,2, RS Bhardwaj – Chapters7,8 Richard I.Levin-Chapters1,2, RS Bhardwaj – Chapters7,8 Richard I.Levin-Chapters1,2, RS Bhardwaj – Chapters7,8 Richard I. Levin, RS Bhardwaj-Chapters 9,10 Richard I. Levin, RS Bhardwaj-Chapters 9,10 Richard I. Levin, RS Bhardwaj-Chapters 9,10 Richard I. Levin, RS Bhardwaj-Chapters 9,10 Richard I. Levin, RS Bhardwaj-Chapters 9,10 Richard I. Levin, RS Bhardwaj-Chapters 9,10 Levin –Chapters 12,13 RS Bhardwaj- Chapters 12,13 Levin –Chapters 12,13 RS Bhardwaj- Chapters 12,13 Levin –Chapters 12,13 RS Bhardwaj- Chapters 12,13 Levin –Chapters 12,13 RS Bhardwaj- Chapters 12,13
Assignment
Test
9
14 15
Lines of Regression Multiple regression
IV
16 17
Time-series & Forecasting : Introduction Measurement of TrendGraphic, Method of SemiAverages, Moving Averages Method of curve fitting by the principles of least squares Permutations and combinations: Basics concepts and probability Marginal, Conditional & Joint Probability Bayes Theorem, Decision Binomial Distributions
Levin –Chapters 12,13 RS Bhardwaj- Chapters 12,13 Statistics for Management Levin –Chapters 12,13 RS Bhardwaj- Chapters 12,13 Richard I.Levin-Chapter-15 RS Bhardwaj– Chapter-15 Richard I.Levin-Chapter-15 RS Bhardwaj– Chapter-15 Richard I.Levin-Chapter-15 RS Bhardwaj– Chapter-15 Richard I. Levin-Chapters4,5 S.C Gupta – Chapter-17.19 Richard I. Levin-Chapters4,5 S.C Gupta – Chapter-17.19 Richard I. Levin-Chapters4,5 S.C Gupta – Chapter-17.19 Richard I. Levin-Chapters4,5 S.C Gupta – Chapter-17.19 Richard I. Levin-Chapters4,5 S.C Gupta – Chapter-17.19 Richard I. Levin-Chapters4,5 S.C Gupta – Chapter-17.19 Richard I. Levin-Chapters4,5 S.C Gupta – Chapter-17.19
Assignment
18 V 19
20
21
Assignment
VI
22
23
Poisson
24
Normal Distributions
25
Normal Distributions
Assignment
9. Mid Term Examination Coverage and QP pattern Section A Section B Section C Theory/problem 5*2 = 10 Marks Theory/Problem 3*4=12 Marks Application Problem/Case study 1* 8 = 8 Marks
10. End Term Examination Coverage and QP pattern The end term examination shall be for 3 hours and shall cover all the topics that are envisaged in this plan and the pattern will be as follows:
10
Section A Section B Section C
Theory/problem 5*2 = 10 Marks Theory/problem 7*5 =35 Marks Application Problem /Case Study 2* 7.5 =15 Marks
11
KO1 BUS3
Business Statistics Ms. L.Rama Mr. Anand Sasikumar Ms. Smitha Ramachandran
Term I (September-09 to December-09)
Programme: Post Graduate Diploma in Management (PGDM) SCMS - COCHIN
Table of Contents
1. COURSE PROFILE:...................................................................................3 2. COURSE (OVERALL) OBJECTIVE/S: ........................................................3 3. COURSE OUTLINE (SYLLABUS)................................................................3 3 4. COURSEWARE:.........................................................................................4 5. COURSE IMPLEMENTATION: PEDAGOGY & EVALUATION APPROACH .....4 4 4 5 5 6 6 6 7 8 6. THE INTERNAL ASSESSMENT ..............................................................8 7. MILESTONES / IMPORTANT DATES .......................................................8 8. SESSION PLAN .......................................................................................9 9. MID TERM EXAMINATION COVERAGE AND QP PATTERN......................10 10. END TERM EXAMINATION COVERAGE AND QP PATTERN ..................10
2
1. Course Profile:
Course Title Number Programme Total Credits Total Number of Sessions Session Duration Faculty/course facilitator Business Statistics KO1 BUS3 Post Graduate Diploma in Management (PGDM) 3 25 1 hr 15 mins Ms. L.Rama/Mr. Anand Sasikumar/ Ms. Smitha Ramachandran
2. Course (overall) Objective/s:
A. B. C. D. To To To To familiarize the concepts of statistics and their applications in Business analyze quantitatively to interpret the existing situation or problem look for the various alternative solutions to problems select the best alternative as a course of action
3. Course Outline (Syllabus)
Module no Weightage Description (list the topics covered in the course under each module)
1 2 3
15 % 20% 20%
Importance of Decision making in Management. Quantitative techniques and their field of application in management, Presentation of data -graphs and charts, frequency distributions. Measures of central tendency, Measures of position, Measures of dispersion Correlation & Regression Analysis: An Introduction: Scatter diagram, Estimation using Regression Line, Coefficient of determination & Coefficient of Correlation, Single & multiple regression. Timeseries&Forecasting,SeasonalVariation,cyclicalVariation,Seasonal, Irregular Variation, Trend Analysis, Problems involving all four components of a time series
4 20%
3
5 6 Total
12.5 % 12.5% 100%
Permutations and combinations, Introduction to Probability, Marginal, Conditional & Joint Probability, Bayes Theorem, Decision Tree Probability Distributions: Binomial Distributions, Poisson, Normal Distributions
4. Courseware:
Book/Journal/ Article/case studies Title Author Year/ Edition/ Volume Publisher
Statistics for Management Business Statistics Business Statistics
Richard I.Levin,David S.Rubin RS Bhardwaj Dr .JS Chandan, Prof.Jagit Singh, KK Khanna
Seventh Edition
Second Edition
Eastern Economy Edition Excel Books Vikas Publishing House
5.
Course implementation: Pedagogy & Evaluation Approach 5.1 Module 1: Module name Sessions Weightage 5.1.1 Learning objective A) To understand the importance of decision making in management B) To analyze Business data and present then in graphical and meaningful form C) To draw inferences from such data and take optimal Business decisions. 5.12 Pre requisite Students are expected to know basic mathematics and fundamentals of statistics. 5.1.3. Pedagogy / Structure of lessons Introduction to Statistics 1-3 15%
The session involves the combinations of lecture, discussion and application problems. 5.1.4. Courseware of the module: Text book & chapter references Richard I.Levin-Chapters-1,2, RS Bhardwaj – Chapters-7,8
5.1.5. Evaluation
for the module Weightage Topic No and/ or specification Importance of Decision making in Management. Quantitative techniques and their field of application in management, Presentation of data -graphs and charts, frequency distributions.
(List as applicable)
Assignment
15%
4
5.2 Module 2: Module name Sessions Weightage Measures of central tendency, dispersions positions in frequency distributions 4-9 20% and
5.2.1 Learning objective A) Define and compute the various measures of central tendency B) Understand the concept, define and compute the different measures of dispersion C) To know the importance of various measures of position
5.2.2 Pre requisite Students are expected to know basic mathematics, fundamentals of statistics, and concepts of mean, median and mode. 5.2.3 Pedagogy / Structure of lessons
The session includes lectures and problems involving changes in a set of parameters that can affect the other set of parameters, which result in changes in decision making. 5.2.4 Courseware of the module: Richard I. Levin-Chapter 3 RS Bhardwaj-Chapters 9,10
Text book & chapter references
5.2.5 Evaluation
for the module Weightage 20% Topic No and/ or specification Measures of central tendency Measures of dispersion Measures of Position
(List as applicable) Test
5.3 Module 3 Module name Sessions Weightage 5.3.1 Learning objective A) To learn how many decisions depend on knowing the specific relationships between two or more variables B) To use Scatter diagrams to visualize the relationships between two variables C) To use regression analysis to estimate the relationship between two variables Correlation and Regression Analysis 10-15 20%
5
D) To learn how correlation analysis describes the degree in which two variables are linearly related to each other E) To understand the coeifficient of determination as a measure of the strength and relationship between two variables 5.3.2 Pre requisite Students are expected to know linear relations between two variables and graphical representation of the same. 5.3.3 Pedagogy / Structure of lessons The session includes lecture, discussion and problem solving 5.3.4. Courseware of the module: Statistics for Management Levin –Chapters 12,13 RS Bhardwaj- Chapters 12,13
Text book & chapter references 5.3.5 Evaluation for the module
(List as applicable) Assignment
Weightage 20%
Topic No and/ or specification Regression Analysis Scatter Diagram Correlation Analysis
5.4 Module 4 Module name Sessions Weightage 5.4.1 Learning objective A) To learn why forecasting changes takes place over a time are an important part of decision making B To understand the four components of a time series C) To use regression based techniques to estimate and forecast the trend in a time series D) To learn how to measure the cyclical component of a time series E) To deal simultaneously with all four components of a time series analysis for forecasting 5.4.2 Pre requisite Students are expected to know basic mathematical theory of equations and relationship between dependent and independent variables 5.4.3 Pedagogy / Structure of lessons The session involves the lectures and problems (treated as case studies) for forecasting future events based on mathematical techniques, which are crucial in decision making . 5.4. 4. Courseware of the module: Richard I.Levin-Chapter-15 RS Bhardwaj– Chapter-15 Forecasting Techniques 16-18 20%
Text book & chapter references
6
Case study
5.4.5 Evaluation
for the module Weightage 20% Topic No and/ or specification Introduction, variations in time series, Trend Analysis/Seasonal, Irregular variations problems involving time series and forecasting Problems Involving all four components of a time series
(List as applicable) Test
5.5 Module 5 Module name Sessions Weightage 5.5.1 Learning objective A) To examine the use of probability theory in decision making B) To explain the different ways probabilities arise C) To develop the rules for calculating different kinds of probabilities D) To understand the concept of probability used in Bayes Theorem and their use in decision making 5.5.2 Pre requisite Students are expected to know the fundamentals of probability, permutation and combinations. 5.5.3. Pedagogy / Structure of lessons Probability 19-21 12.5%
The session involves lectures and the use of different theories of probability in decision making 5.5.4 Courseware of the module: Text book & chapter references Richard I. Levin-Chapters- 4,5 S.C Gupta – Chapter-17.19
5.5.5. Evaluation
for the module Weightag e 12.5% Topic No and/ or specification Decision Tree
(List as applicable) Assignment
7
5.6 Module 6 Module name Sessions Weightage 5.6.1 Learning objective A) To examine the use of probability theory in decision making B) To explain the different ways probabilities arise C) To develop the rules for calculating different kinds of probabilities D) To understand the concept of probability used in Bayes Theorem and their use in decision making 5.6.2 Pre requisite Students are expected to know the fundamentals of probability, permutation and combinations. 5.6.3. Pedagogy / Structure of lessons Probability Distributions 22-25 12.5%
The session involves lectures and the use of different theories of probability in decision making 5.6.4 Courseware of the module: Text book & chapter references Case study Richard I. Levin-Chapters- 4,5 S.C Gupta – Chapter-17.19
5.6.5. Evaluation
for the module Weightage 12.5% Topic No and/ or specification Probability Distributions
(List as applicable) Assignment
6.
The internal assessment
The internal assessment shall be based on the following Evaluation Criteria Criteria Assignment – 4 No’s * 5 Mid Term Exam Class Test – 2 No’s * 15 Total 7. Milestones / Important Dates Maximum Marks 20 20 30 70
Sl. No.
Assignment / Class Test / Project/ Presentation etc.
Tentative Date/ SESSION
8
1 2 3 3 4 5 6
Assignment 1 Class Test 1 Assignment 2 Mid term Class test 2 Assignment 3 Assignment 4
After completion of 1 module After completion of 2 module After completion of 3 module After completion of 3 modules After completion of 4 modules After completion of 5 modules After completion of 6 modules
8. Session Plan Module Session Topics Reading reference / Assignment (Preparatory. Work) Assignments/ Activities (for evaluation)
I
1
Importance of Decision making in Management. Quantitative techniques and their field of application in management Presentation of data -graphs and charts, frequency distributions Measures of central tendency Measures of central tendency Measures of position Measures of position Measures of dispersion Measures of dispersion Correlation: An Introduction, Scatter diagram Coefficient of Correlation Rank Correlation Linear Regression Analysis: Introduction
2
3
II
4 5 6 7 8 9
III
10 11 12 13
Richard I.Levin-Chapters1,2, RS Bhardwaj – Chapters7,8 Richard I.Levin-Chapters1,2, RS Bhardwaj – Chapters7,8 Richard I.Levin-Chapters1,2, RS Bhardwaj – Chapters7,8 Richard I. Levin, RS Bhardwaj-Chapters 9,10 Richard I. Levin, RS Bhardwaj-Chapters 9,10 Richard I. Levin, RS Bhardwaj-Chapters 9,10 Richard I. Levin, RS Bhardwaj-Chapters 9,10 Richard I. Levin, RS Bhardwaj-Chapters 9,10 Richard I. Levin, RS Bhardwaj-Chapters 9,10 Levin –Chapters 12,13 RS Bhardwaj- Chapters 12,13 Levin –Chapters 12,13 RS Bhardwaj- Chapters 12,13 Levin –Chapters 12,13 RS Bhardwaj- Chapters 12,13 Levin –Chapters 12,13 RS Bhardwaj- Chapters 12,13
Assignment
Test
9
14 15
Lines of Regression Multiple regression
IV
16 17
Time-series & Forecasting : Introduction Measurement of TrendGraphic, Method of SemiAverages, Moving Averages Method of curve fitting by the principles of least squares Permutations and combinations: Basics concepts and probability Marginal, Conditional & Joint Probability Bayes Theorem, Decision Binomial Distributions
Levin –Chapters 12,13 RS Bhardwaj- Chapters 12,13 Statistics for Management Levin –Chapters 12,13 RS Bhardwaj- Chapters 12,13 Richard I.Levin-Chapter-15 RS Bhardwaj– Chapter-15 Richard I.Levin-Chapter-15 RS Bhardwaj– Chapter-15 Richard I.Levin-Chapter-15 RS Bhardwaj– Chapter-15 Richard I. Levin-Chapters4,5 S.C Gupta – Chapter-17.19 Richard I. Levin-Chapters4,5 S.C Gupta – Chapter-17.19 Richard I. Levin-Chapters4,5 S.C Gupta – Chapter-17.19 Richard I. Levin-Chapters4,5 S.C Gupta – Chapter-17.19 Richard I. Levin-Chapters4,5 S.C Gupta – Chapter-17.19 Richard I. Levin-Chapters4,5 S.C Gupta – Chapter-17.19 Richard I. Levin-Chapters4,5 S.C Gupta – Chapter-17.19
Assignment
18 V 19
20
21
Assignment
VI
22
23
Poisson
24
Normal Distributions
25
Normal Distributions
Assignment
9. Mid Term Examination Coverage and QP pattern Section A Section B Section C Theory/problem 5*2 = 10 Marks Theory/Problem 3*4=12 Marks Application Problem/Case study 1* 8 = 8 Marks
10. End Term Examination Coverage and QP pattern The end term examination shall be for 3 hours and shall cover all the topics that are envisaged in this plan and the pattern will be as follows:
10
Section A Section B Section C
Theory/problem 5*2 = 10 Marks Theory/problem 7*5 =35 Marks Application Problem /Case Study 2* 7.5 =15 Marks
11
