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RESEARCH METHODOLOGY II
Course Outcomes (COs):
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Course Outcomes |
Learning and teaching strategies |
Assessment Strategies |
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On completion of this course, the students will be able to: CO 186: Distinguish between a population and a sample CO 187: Be able to evaluate the criteria that can be used to select an appropriate statistical test to answer a research question or hypothesis. CO 188: To select an appropriate statistical test to answer a research question or hypothesis. CO 189: Distinguish between the writing structure used for a quantitative study and one used for a qualitative study. CO 190: 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
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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).
• 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
e-RESOURCES:
• https://repository.dinus.ac.id/docs/ajar/Kothari_-_Research_Methodology_...
• https://www.researchreinforcement.com/
• https://web.s.ebscohost.com/ehost/search/basic?vid=0&sid=0c7f189a-083f-4...
• http://ww1.shodhganga.com/
• https://shodhgangotri.inflibnet.ac.in/
• https://www.scopus.com/home.uri
• http://www.e-book.com.au/freebooks.htm
• https://www.doaj.org/
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
