Research Methodology II

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

The course will enable students to -

  1. Understand the concept of measurement in empirical systems & its validity and reliability.
  2. Equip students on how to use statistical tools and techniques for analysis of research data. To understand the various applications of business research.
  3. Understand the types, tools and methods of research and develop the ability to analyze data gathered to draw precise and relevant conclusions and write it in the form of a Research report. 

Course Outcomes (Cos):

 

Course

Learning outcome (at course level)

Learning and teaching strategies

Assessment Strategies

Paper Code

Paper Title

ATG / BSG / FSG 224

Research Methodology II (Theory)

The students will–

 

CO49: Distinguish between a population and a sample.

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

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

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

CO53: 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: 
  • 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: 
  • 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
  • Unit III: 20 Hrs
  • 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.

 

20.00
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: 
  • 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: 
  • 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.
  • 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.

 

Academic Year: 
2021-2022
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