Research Methodology II

Paper Code: 
24DATG801
Credits: 
04
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

 

This course will enable the students to acquire knowledge of all the statistical aspects for business decisions.

 

 

 

Course Outcomes: 

 

Course

Learning outcome

(at course level)

Learning and teaching strategies

Assessment Strategies

Course Code

Course

Title

 

24DATG801

 

 

Research Methodology II

(Theory)

CO223: Understand the concept and theory of probability and probability distribution

CO224: Evaluate the criteria that can be used to select an appropriate statistical test to answer a research question or hypothesis.

CO225: Apply parametric and non-parametric tests on statistical distribution

CO226: Select an appropriate statistical test to answer a research question or hypothesis. Know how to conduct a statistical test of a hypothesis.

CO227: Create and apply the Knowledge of new applications and   the recent trends in the subject and report the same.

CO228: Contribute effectively in course-specific interaction

Approach

in

teaching:

Interactive

Lectures,

Discussion,

Tutorials,

Problem solving sessions, Presentations

Learning

activities

for the

students:

Self-learning

assignments, Case Study analysis, Presentations, Group discussions

  

Continuous Assessment Test, Semester End Examinations, Quiz, Solving numerical problems, Assignments, Class Presentations, Individual and group projects.

 

Course

Learning outcome

(at course level)

Learning and teaching strategies

Assessment Strategies

Course Code

Course

Title

 

24DATG801

 

 

Research Methodology II

(Theory)

CO223: Understand the concept and theory of probability and probability distribution

CO224: Evaluate the criteria that can be used to select an appropriate statistical test to answer a research question or hypothesis.

CO225: Apply parametric and non-parametric tests on statistical distribution

CO226: Select an appropriate statistical test to answer a research question or hypothesis. Know how to conduct a statistical test of a hypothesis.

CO227: Create and apply the Knowledge of new applications and   the recent trends in the subject and report the same.

CO228: Contribute effectively in course-specific interaction

Approach

in

teaching:

Interactive

Lectures,

Discussion,

Tutorials,

Problem solving sessions, Presentations

Learning

activities

for the

students:

Self-learning

assignments, Case Study analysis, Presentations, Group discussions

  

Continuous Assessment Test, Semester End Examinations, Quiz, Solving numerical problems, Assignments, Class Presentations, Individual and group projects.

 

12.00
Unit I: 
Probability and Probability Distribution:

                             

  • Concept of Permutation and Combinations
  • Probability: Basic Concepts, Importance of Concept of Probability, Theorem of Probability (Additional Theorem and Multiplication Theorem), Conditional Probability, Bayes’ Theorem, Mathematical Expectation
  • Probability Distribution: Binomial, Poisson’s and Normal.
12.00
Unit II: 
Sampling and Sampling Distribution
  • Sampling: Meaning of census and sample. Characteristics of a good sample, Need for sample, Types of samples based on Probability and Non-Probability sampling. Probability Sampling- Idea of Simple Random Sampling, Stratified and Cluster sampling Non- Probability Sampling- Purposive and Quota sampling.
  • Sampling Distribution and Standard Error: Element of Testing a Statistical Hypothesis- Formulation of the problem, Types of Errors. Level of Significance
12.00
Unit III: 
Parametric Tests
  • Analysis of Parametric Test: Test of Significance for Large and Small samples.
  • Analysis of Variance: Application of F-test. One-way and Two-way classification.
12.00
Unit IV: 
Non -Parametric Tests
  • Analysis of Non -parametric Tests
  • Chi-square Test: Chi-square test for population variance. Chi-Square Test (goodness of fit, independence of attributes using 2x2 and rxc contingency tables).
  • Wilcoxon signed rank test, Friedman test, Kruskal-Wallis test, Mann-Whitney test
12.00
Unit V: 
Research Reports:
  • Research Report Writing: Types and layouts of research reports, Steps in report writing, Essentials of a good report, Presentation, Footnote- Endnote, Bibliography, References

 

Essential Readings: 
  • Simpson and Kafka: Basic Statistics, Oxford and IBH Publishers.
  • Badarkar, P.L. and Wilkinson T.S. (2000), Methodology and Techniques of Social Research, Himalaya Publishing House, Mumbai
  • Business Statistics-Gupta, Goyal, Jain, Biyani, Gupta ( Ajmera Book Company)
  • Kothari, C.R. (Second Edition), Research Methodology- Methods and Techniques, Wishwa Publication, New Delhi.

 

 

 

                          

 

 

 

 

 

 

 

 

Essential Readings:

  • Simpson and Kafka: Basic Statistics, Oxford and IBH Publishers.
  • Badarkar, P.L. and Wilkinson T.S. (2000), Methodology and Techniques of Social Research, Himalaya Publishing House, Mumbai
  • Business Statistics-Gupta, Goyal, Jain, Biyani, Gupta ( Ajmera Book Company)
  • Kothari, C.R. (Second Edition), Research Methodology- Methods and Techniques, Wishwa Publication, New Delhi.

 

Suggested Readings:

  • Spiegel, Schiller and Srinivasan- Theory and Problems of Probability and Statistics-Tata McGraw Hill
  • Goon, Gupta and Das: Fundamentals of Statistics, Vol. I and II.
  • Snedecor and Cochran, Statistical Methods, Oxford and IBH Publishers.
  • Shukla,M.C. and Gulshan S.S., Statistics Theory and Practice, Sultan Chand and Sons, New Delhi.
  • Gupta, S.P., Statistical Methods, Sultan Chand and Sons, New Delhi.
  • Gupta, S.C. and Kapoor V.K., Fundamental of Mathematical Statistics, Sultan Chand and Sons, New Delhi

 

E-Content:

 

Reference Journals:

  • Business Perspectives and Research
  • FIIB Business Review
  • Harvard Business Review
  • IUP Journal of Accounting Research
  • Jindal Journal of Business Research
  • Nirma University Journal of Business & Management Studies
  • Oorja
  • The Chartered Accountant
  • The ICFAI reader
  • The Indian Journal of Commerce
  • Vikalpa: Journal for Decision Makers

 

References: 

Suggested Readings:

  • Spiegel, Schiller and Srinivasan- Theory and Problems of Probability and Statistics-Tata McGraw Hill
  • Goon, Gupta and Das: Fundamentals of Statistics, Vol. I and II.
  • Snedecor and Cochran, Statistical Methods, Oxford and IBH Publishers.
  • Shukla,M.C. and Gulshan S.S., Statistics Theory and Practice, Sultan Chand and Sons, New Delhi.
  • Gupta, S.P., Statistical Methods, Sultan Chand and Sons, New Delhi.
  • Gupta, S.C. and Kapoor V.K., Fundamental of Mathematical Statistics, Sultan Chand and Sons, New Delhi

 

E-Content:

 

Reference Journals:

  • Business Perspectives and Research
  • FIIB Business Review
  • Harvard Business Review
  • IUP Journal of Accounting Research
  • Jindal Journal of Business Research
  • Nirma University Journal of Business & Management Studies
  • Oorja
  • The Chartered Accountant
  • The ICFAI reader
  • The Indian Journal of Commerce
  • Vikalpa: Journal for Decision Makers

 

Academic Year: 
2024-2025
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