RESEARCH METHODOLOGY II

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

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
Unit I: 
Unit I

• 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
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

20.00
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.

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

18.00
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: 

• 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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