RESEARCH METHODOLOGY II

Paper Code: 
DATG 811
Credits: 
04
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

                          Course Outcomes

Learning and teaching strategies

Assessment Strategies

  
 

On completion of this course, the students will be able to:

CO 236: Distinguish between a population and a sample

CO 237: Be able to evaluate the criteria that can be used to select an appropriate statistical test to answer a research question or hypothesis.

CO 238: To select an appropriate statistical test to answer a research question or hypothesis.

CO 239: Distinguish between the writing structure used for a quantitative study and one used for a qualitative study. 

CO 240: Create and apply the knowledge of new applications and   the recent trends in the subject.

Interactive Lectures, Group Discussion, Tutorials, Reading assignments, Workshops and question preparation

 

Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments,  Individual projects

  

 

12.00
Unit I: 
UNIT 1
  • 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: 
UNIT II
  • 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: 
UNIT III
  • 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: 
UNIT IV
  • 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: 
UNIT V
  • 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: 

SUGGESTED TEXT BOOKS:

  • 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.

e-RESOURCES:

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 REFERENCE BOOKS:

  • 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
Academic Year: 
2023-2024
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