Coming soon
Research Methodology II
The course will enable students to -
- Understand the concept of measurement in empirical systems & its validity and reliability.
- Equip students on how to use statistical tools and techniques for analysis of research data. To understand the various applications of business research.
- 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):
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Course |
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Paper Code |
Paper Title |
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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 |
- 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.
- 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
- 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.
- 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
- Research Report Writing: Types and layouts of research reports, Steps in report writing, Essentials of a good report, Presentation, Footnote- Endnote, Bibliography, References
- 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.
- 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.
