RESEARCH METHODOLOGY II

Paper Code: 
FSG 224
Credits: 
6
Contact Hours: 
90.00
Max. Marks: 
100.00
Objective: 

Course Outcomes (Cos):

Learning outcome (at course level)

Learning and teaching strategies

Assessment Strategies

The students will–

 

CO49: Be able to distinguish between a population and a sample

CO50: Know how to conduct a statistical test of a hypothesis.

CO51: Be able to evaluate the criteria that can be used to select an appropriate statistical test to answer a research question or hypothesis.

CO52: To select an appropriate statistical test to answer a research question or hypothesis.

CO53: Be able to distinguish between the writing structure used for a quantitative study and one used for a qualitative study. 

CO54: Create and apply the Knowledge of new applications and   the recent trends in the subject.

Approach in teaching:

Interactive Lectures, Discussion, Tutorials, assignments.

 

Learning activities for the students:

Self-learning assignments, Effective questions,  Giving tasks

Class test,

Semester end examinations,

Quiz,

Solving problems in tutorials, Assignments,  Individual projects

 

20.00
  • 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.

 

20.00
  • 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

 

20.00
  • 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
18.00
  • 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).
  • sign test, Wilcoxon signed rank test, Friedman test, Kruskal-Wallis test, Mann-Whitney test

 

18.00
  • 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.

 

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-RESOURCES:

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: 
2023-2024
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