Coming soon
RESEARCH METHODOLOGY II
This course will enable the students to acquire knowledge of all the statistical aspects for business decisions.
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Course |
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Course Code |
Course title |
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24ATG/24BSG/24FSG 224 |
Research Methodology II (Theory) |
CO49: Understand the concept and theory of probability and probability distribution CO50: Evaluate the criteria that can be used to select an appropriate statistical test to answer a research question or hypothesis. CO51: Apply parametric and non-parametric tests on statistical distribution CO52: Select an appropriate statistical test to answer a research question or hypothesis. Know how to conduct a statistical test of a hypothesis. CO53: Create and apply the Knowledge of new applications and the recent trends in the subject and report the same. CO54: Contribute effectively in course-specific interaction |
Approach in Teaching: Interactive Lectures, Discussion, Tutorials, Problem Solving Sessions & Presentations
Learning activities for the students: Self-learning assignments, Case Study Analysis, Class Presentations (Individual & Group) |
Continuous Assessment Test, Semester End Examinations, Quiz, Solving Numerical Problems, Assignments, Individual & Group 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.
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:
- https://repository.dinus.ac.id/docs/ajar/Kothari_-_Research_Methodology_Methods_and_Techniques_-_2004.pdf
- https://www.researchreinforcement.com/
- https://web.s.ebscohost.com/ehost/search/basic?vid=0&sid=0c7f189a-083f-49b2-8d14-1018e9b1d9a8%40redis
- 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/
