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
1. Simpson And Kafka: Basic Statistics, Oxford And IBH Publishers.
2. Badarkar, P.L. And Wilkinson T.S. (2000), Methodology And Techniques Of Social Research, Himalaya Publishing House, Mumbai
3. Business Statistics-Gupta, Goyal, Jain, Biyani, Gupta ( Ajmera Book Company)
4. Kothari, C.R.( Second Edition), Research Methodology- Methods And Techniques, Wishwa Publication, New Delhi.
1. Spiegel, Schiller And Srinivasan- Theory And Problems Of Probability And Statistics-Tata Mcgraw Hill
2. Goon, Gupta And Das: Fundamentals Of Statistics, Vol. I And II.
3. Snedecor And Cochran, Statistical Methods, Oxford And IBH Publishers.
4. Shukla,M.C. And Gulshan S.S., Statistics Theory And Practice, Sultan Chand And Sons, New Delhi.
5. Gupta, S.P., Statistical Methods, Sultan Chand And Sons, New Delhi.
6. Gupta, S.C. And Kapoor V.K., Fundamental Of Mathematical Statistics, Sultan Chand And Sons, New Delhi
e-Resources:
1. https://repository.dinus.ac.id/docs/ajar/Kothari_-_Research_Methodology_...
2. https://www.researchreinforcement.com/
3. https://web.s.ebscohost.com/ehost/search/basic?vid=0&sid=0c7f189a-083f-4...
4. http://ww1.shodhganga.com/
5. https://shodhgangotri.inflibnet.ac.in/
6. https://www.scopus.com/home.uri
7. http://www.e-book.com.au/freebooks.htm
8. https://www.doaj.org/
